Fish_ndfa <- read.csv("R_write/FISH_MAN_allIEPsurveys_20200527.csv")
FlowDesignation <- read.csv("Data/FlowDatesDesignations.csv")
Regions <- read.csv("R_write/Stations_Fish_NDFA_2020-06-08.csv")
# Look at data
head(Fish_ndfa)
str(Fish_ndfa)
# Add variables
Fish_ndfa$Date <- ymd(Fish_ndfa$Date)
Fish_ndfa$Month <- month(Fish_ndfa$Date)
Fish_ndfa$Day <- day(Fish_ndfa$Date)
Fish_ndfa$Year <- ordered(Fish_ndfa$Year)
FlowDesignation$Year <- ordered(FlowDesignation$Year)
FlowDesignation$PreFlowStart <- mdy(FlowDesignation$PreFlowStart)
FlowDesignation$PreFlowEnd <- mdy(FlowDesignation$PreFlowEnd)
FlowDesignation$PostFlowStart <- mdy(FlowDesignation$PostFlowStart)
FlowDesignation$PostFlowEnd <- mdy(FlowDesignation$PostFlowEnd)
# Merge data from FlowDesignation Table (Water Year Type, Flow days and type)
# Filter only Pre-During-Post Flow Action Data.
# We have a during action, and then Pre = 30 days before/Post = 30 days after
Fish_all0 <- inner_join(Fish_ndfa,FlowDesignation, by = "Year")
Fish_all1 <- left_join(Fish_all0, Regions)
Fish_all <- Fish_all1 %>%
mutate(ActionPhase = ifelse(Date > PreFlowStart & Date<PreFlowEnd, "Pre", NA)) %>%
mutate(ActionPhase = replace(ActionPhase, Date > PreFlowEnd & Date < PostFlowStart, "During")) %>%
mutate(ActionPhase = replace(ActionPhase, Date > PostFlowStart & Date < PostFlowEnd, "Post")) %>%
filter(!is.na(ActionPhase)) %>%
select(-c(PreFlowStart:PostFlowEnd)) %>%
arrange(Date, Survey, StationCode, CommonName)
# Order Action Phases
Fish_all$ActionPhase <- as.factor(Fish_all$ActionPhase)
Fish_all$ActionPhase <- factor(Fish_all$ActionPhase, levels(Fish_all$ActionPhase)[c(3,1,2)])
# Define variable structures
Fish_all$Date <- ymd(Fish_all$Date)
Fish_all$Month <- ordered(Fish_all$Month)
Fish_all$Year <- ordered(Fish_all$Year)
Fish_all$WYType <- as.factor(Fish_all$WYType)
Fish_all$ActionPhase <- as.factor(Fish_all$ActionPhase)
Fish_all$X1 <- NULL
Fish_all$Survey <- as.factor(Fish_all$Survey)
Fish_all$StationCode <- as.factor(Fish_all$StationCode)
str(Fish_all)
## FUNCTIONS FOR PLOTTING -------------------------------------------------------------
VisPoint <- function(data,y) {
y <- enquo(y)
data %>%
ggplot() +
geom_point(mapping = aes(Date,!! y), size = 2) +
theme_bw() +
scale_colour_manual(values = c("coral3", "lightseagreen"))+
theme_bw() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.line = element_line(colour = "black"),
plot.title = element_text(hjust=0.5),
axis.text = element_text(size = 11),
axis.text.x = element_text(angle = 90, hjust = 1),
axis.title = element_text(size = 12),
legend.text = element_text(size = 11),
legend.position = "bottom")
}
# Boxplots by variable of interest
VisBox <- function(data, x, y) {
x <- enquo(x)
y <- enquo(y)
data %>%
ggplot() +
geom_boxplot(mapping = aes(!! x,!! y), fill = "lightseagreen", colour = "lightgray") +
theme_bw() +
scale_colour_manual(values = c("coral3", "lightseagreen"))+
theme_bw() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.line = element_line(colour = "black"),
plot.title = element_text(hjust=0.5),
axis.text = element_text(size = 11),
axis.text.x = element_text(angle = 90, hjust = 1),
axis.title = element_text(size = 12),
legend.text = element_text(size = 11))
}
#----------------------------------------------------------------------------------------------------
####################################################################################################
library(leaflet)
# Look at locations
# Define palette
pal <- colorFactor(c("slateblue", "darkseagreen", "orange", "orangered", "hotpink"), domain = c("DJFMP", "Yolo", "Townet", "EDSM", "FMWT"))
leaflet(Fish_all) %>%
addTiles() %>%
addCircleMarkers(
color = ~pal(Survey),
opacity = 0.5,
lng = ~Longitude,
lat = ~Latitude,
label = ~StationCode) %>%
addLegend(pal = pal,
values = ~Survey,
position = "bottomright")
pal2 <- colorFactor(c("violet", "navyblue", "darkseagreen", "orange", "orangered", "hotpink"), domain = c("MiddleSacRiver", "ColusaDrainRCS", "CentralYolo", "LowerYolo", "CacheSloughComples", "LowerSacRiver"))
leaflet(Fish_all)%>%
addTiles() %>%
addCircleMarkers(
color = ~pal2(Region),
opacity = 0.5,
lng = ~Longitude,
lat = ~Latitude,
label = ~paste(StationCode, "Lat:", Latitude, "Long:", Longitude)) %>%
addLegend(pal = pal2,
values = ~Region,
position = "bottomright")
# Time span
time <- Fish_all%>%
group_by(Survey, Year) %>%
summarize(sum.count = sum(totalCount))
ggplot(time, aes(x = Survey, y = Year, fill = sum.count)) + geom_tile() + theme_minimal()
# Look at datasets
Fishsp <- Fish_all %>%
group_by(CommonName) %>% summarize(count = n())
Fish_all %>%
plot_ly(x = ~Survey,
y = ~totalCount,
type = "box")
Fishsp %>%
plot_ly(x = ~CommonName,
y = ~count,
type = "bar")
# Filter Dataset
Seine <- Fish_all %>% filter(MethodCode == "SEIN" | MethodCode == "BSEIN") %>%
select(-c(23:25))
str(Seine)
## 'data.frame': 7188 obs. of 24 variables:
## $ Date : Date, format: "2011-07-26" "2011-07-26" ...
## $ Survey : Factor w/ 5 levels "DJFMP","EDSM",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ StationCode : Factor w/ 536 levels "17-53-SRR01",..: 497 497 497 497 497 529 529 529 529 529 ...
## $ MethodCode : Factor w/ 7 levels "BSEIN","FKTR",..: 6 6 6 6 6 6 6 6 6 6 ...
## $ Secchi : num NA NA NA NA NA NA NA NA NA NA ...
## $ Conductivity : num 33.4 33.4 33.4 33.4 33.4 ...
## $ Turbidity : num NA NA NA NA NA NA NA NA NA NA ...
## $ DO : num 9.18 9.18 9.18 9.18 9.18 6.94 6.94 6.94 6.94 6.94 ...
## $ WaterTemp : num 17 17 17 17 17 23.6 23.6 23.6 23.6 23.6 ...
## $ CommonName : Factor w/ 72 levels "American Shad",..: 7 27 37 45 62 14 25 44 45 53 ...
## $ Year : Ord.factor w/ 9 levels "2011"<"2012"<..: 1 1 1 1 1 1 1 1 1 1 ...
## $ Tow : int NA NA NA NA NA NA NA NA NA NA ...
## $ Depth : num 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 1.2 ...
## $ VolumeSampled: num 90 90 90 90 90 48 48 48 48 48 ...
## $ Latitude : num 38.6 38.6 38.6 38.6 38.6 ...
## $ Longitude : num -122 -122 -122 -122 -122 ...
## $ totalCount : int 2 1 2 137 15 1 15 29 34 1 ...
## $ Month : Ord.factor w/ 6 levels "6"<"7"<"8"<"9"<..: 2 2 2 2 2 2 2 2 2 2 ...
## $ Day : int 26 26 26 26 26 26 26 26 26 26 ...
## $ WYType : Factor w/ 4 levels "BN","C","D","W": 4 4 4 4 4 4 4 4 4 4 ...
## $ FlowPulseType: Factor w/ 4 levels "CA","MA-Ag","MA-SR",..: 4 4 4 4 4 4 4 4 4 4 ...
## $ NetFlowDays : int 63 63 63 63 63 63 63 63 63 63 ...
## $ Region : Factor w/ 6 levels "CacheSloughComplex",..: 6 6 6 6 6 6 6 6 6 6 ...
## $ ActionPhase : Factor w/ 3 levels "Pre","During",..: 1 1 1 1 1 1 1 1 1 1 ...
### Complete Cases
# For each Date, Survey, StationCode combination, make sure each fish species is represented with
# either positive count or zero.
Seine_completecase <- Seine %>%
group_by(Date, Survey, StationCode, CommonName) %>%
summarize(sum.count = sum(totalCount)) %>%
ungroup() %>%
complete(CommonName, nesting(Date, Survey, StationCode), fill = list(sum.count = 0)) %>%
arrange(Date,Survey, StationCode,CommonName)
### Merge back together with rest of data
# Get distinct samples for looking at Water Quality
Seine_samples <- Seine %>% select(-c(CommonName, totalCount)) %>% distinct()
# Merge
Seine_complete <- left_join(Seine_completecase, Seine_samples, by = c("Date", "Survey", "StationCode"))
# There is a Yolo sample with two volumes... this is why there are more rows of Seine_complete
### Calculate CPUE
# Remove samples with no volume
Seine_CPUE <- Seine_complete %>%
filter(!is.na(VolumeSampled))%>%
mutate(CPUE = round(sum.count/VolumeSampled,2))
### Rearrange columns
Seine_f <- Seine_CPUE[, c("Date", "Year", "Month", "Day", "Survey", "StationCode",
"Latitude", "Longitude","MethodCode",
"WYType", "FlowPulseType", "NetFlowDays","ActionPhase", "Region",
"Secchi", "Turbidity", "Conductivity", "WaterTemp", "DO", "Tow",
"Depth", "VolumeSampled", "CommonName", "sum.count", "CPUE")]
### Mean CPUE
## Calculate means for each species by year-location-actionphase
CPUE_means_seine_phase <- Seine_f %>%
group_by(Year, Survey, StationCode, ActionPhase, CommonName) %>%
summarize(mean.CPUE = mean(CPUE))
############ OUTLIERS #################
# Boxplots
WTvis1 <- VisPoint(Seine_samples, WaterTemp)
WTvis2 <- VisBox(Seine_samples, Month, WaterTemp)
WTvis3 <- VisBox(Seine_samples, Year, WaterTemp)
Cvis1 <- VisPoint(Seine_samples, Conductivity)
Cvis2 <- VisBox(Seine_samples, Month, Conductivity)
Cvis3 <- VisBox(Seine_samples, Year, Conductivity)
Svis1 <- VisPoint(Seine_samples, Secchi)
Svis2 <- VisBox(Seine_samples, Month, Secchi)
Svis3 <- VisBox(Seine_samples, Year, Secchi)
Tvis1 <- VisPoint(Seine_samples, Turbidity)
Tvis2 <- VisBox(Seine_samples, Month, Turbidity)
Tvis3 <- VisBox(Seine_samples, Year, Turbidity)
DOvis1 <- VisPoint(Seine_samples, DO)
DOvis2 <- VisBox(Seine_samples, Month, DO)
DOvis3 <- VisBox(Seine_samples, Year, DO)
# Plot together
grid.arrange(WTvis1, WTvis2, WTvis3, Cvis1, Cvis2, Cvis3, Svis1, Svis2, Svis3,
Tvis1, Tvis2, Tvis3, DOvis1, DOvis2, DOvis3, ncol = 3)
# Boxplots
plot_ly(data = Seine_samples, x = ~StationCode, y = ~WaterTemp, color = ~Region, type = 'box')
plot_ly(data = Seine_samples, x = ~StationCode, y = ~Conductivity, color = ~Region, type = 'box')
plot_ly(data = Seine_samples, x = ~StationCode, y = ~Secchi, color = ~Region, type = 'box')
plot_ly(data = Seine_samples, x = ~StationCode, y = ~Turbidity, color = ~Region, type = 'box')
plot_ly(data = Seine_samples, x = ~StationCode, y = ~DO, color = ~Region, type = 'box')
############ CORRELATIONS ####################
# Correlation Matrix WQ
Corr.wq <- Seine_samples %>% select(WaterTemp, Conductivity, Secchi, Turbidity, DO)
ggpairs(Corr.wq)
# Variance Inflation Factor (VIF)
corvif(Corr.wq) # Want to get rid of the variable if VIF > 4
##
##
## Variance inflation factors
##
## GVIF
## WaterTemp 1.108283
## Conductivity 1.688919
## Secchi 1.566020
## Turbidity 1.484982
## DO 1.709443
# Clean up wq data
# QC Check - does anything look weird?
Seine_samples %>% filter(WaterTemp>40 | WaterTemp<1)
## Date Survey StationCode MethodCode Secchi Conductivity Turbidity DO
## 1 2018-10-15 DJFMP LI004E SEIN NA 153.3 16.3 9.17
## WaterTemp Year Tow Depth VolumeSampled Latitude Longitude Month Day WYType
## 1 50.6 2018 NA 0.7 63 38.26514 -121.6716 10 15 BN
## FlowPulseType NetFlowDays Region ActionPhase
## 1 MA-Ag 30 CacheSloughComplex Post
Seine_samples %>% filter(Secchi > 0.95)
## Date Survey StationCode MethodCode Secchi Conductivity Turbidity DO
## 1 2011-08-31 Yolo YB BSEIN 1 1157 NA 4.03
## WaterTemp Year Tow Depth VolumeSampled Latitude Longitude Month Day WYType
## 1 20.7 2011 1 NA 172.5 38.56538 -121.631 8 31 W
## FlowPulseType NetFlowDays Region ActionPhase
## 1 NF 63 CentralYolo During
Seine_samples %>% filter(Turbidity > 250) # Slightly sketchy but will leave in
## Date Survey StationCode MethodCode Secchi Conductivity Turbidity DO
## 1 2012-08-01 Yolo YB BSEIN 0.12 1409 387 2.08
## 2 2012-10-25 Yolo BL4 BSEIN 0.16 529 254 8.13
## 3 2013-10-21 Yolo YB BSEIN 0.13 1146 288 6.90
## WaterTemp Year Tow Depth VolumeSampled Latitude Longitude Month Day WYType
## 1 22.4 2012 1 NA 150.0 38.56538 -121.6310 8 1 BN
## 2 16.2 2012 1 NA 72.5 38.35496 -121.6422 10 25 BN
## 3 14.8 2013 1 NA 100.0 38.56538 -121.6310 10 21 D
## FlowPulseType NetFlowDays Region ActionPhase
## 1 CA 38 CentralYolo Pre
## 2 CA 38 LowerYolo Post
## 3 NF 42 CentralYolo Post
Seine_f$WaterTemp[Seine$WaterTemp == 50.6] <- NA # Remove this because really out of range
# Function to fill in missing values with mean
impute.mean <- function(x) replace(x, is.na(x), mean(x, na.rm = TRUE))
# Filling in missing values using impute.mean function from above.
# Variables are renamed because using mutate adds on new columns to the matrix.
# Use impute.mean to fill in NAs, rename updated variables using mutate
Seine_f <- Seine_f %>%
group_by(WYType) %>%
mutate(
Cond = impute.mean(Conductivity),
WTemp = impute.mean(WaterTemp),
SecDepth = impute.mean(Secchi),
Turb = impute.mean(Turbidity),
DOx = impute.mean(DO)) %>%
ungroup()
# Lists
list_native <- c("Sacramento Pikeminnow", "Splittail", "Hitch", "Hardhead", "Sacramento Sucker", "Sacramento Blackfish")
list_smeltish <- c("Wakasagi", "Inland Silverside")
list_smeltpred <- c("Largemouth Bass", "Smallmouth Bass", "Striped Bass", "Spotted Bass")
list_cyprinid <- c("Sacramento Pikeminnow", "Sacramento Splittail", "Hitch", "Fathead Minnow",
"Golden Shiner", "Hardhead", "Carp", "Goldfish")
list_nmds <- c("Sacramento Pikeminnow", "Splittail", "Hitch", "Hardhead", "Sacramento Sucker", "Sacramento Blackfish",
"Wakasagi", "Inland Silverside", "Delta Smelt",
"Carp", "Goldfish", "Hardhead", "Golden Shiner", "Fathead Minnow", "Hitch",
"Rainwater Killifish", "Western Mosquitofish", "Black Crappie", "White Crappie", "Bluegill", "Bigscale Logperch",
"Largemouth Bass", "Smallmouth Bass", "Striped Bass", "Spotted Bass",
"Threadfin Shad", "American Shad")
list_nmds_small <- c("Sacramento Pikeminnow", "Splittail", "Hitch", "Hardhead", "Sacramento Sucker", "Sacramento Blackfish",
"Wakasagi", "Inland Silverside", "Delta Smelt", "Longfin Smelt",
"Largemouth Bass", "Smallmouth Bass", "Striped Bass", "Spotted Bass",
"Threadfin Shad", "American Shad", "Bluegill", "Black Crappie", "Bigscale Logperch")
Seine_tf <- Seine_f %>% filter(CommonName == "Threadfin Shad")
Seine_sucker <- Seine_f %>% filter(CommonName == "Sacramento Sucker")
Seine_lmb <- Seine_f %>% filter(CommonName == "Largemouth Bass")
Seine_black <- Seine_f %>% filter(CommonName == "Sacramento Blackfish")
Seine_pike <- Seine_f %>% filter(CommonName == "Sacramento Pikeminnow")
Seine_natives <- Seine_f %>%filter(CommonName %in% list_native)
Seine_nmds_larger <- Seine_f%>% filter(CommonName %in%list_nmds)
Seine_nmds_0 <- Seine_f %>% filter(CommonName %in% list_nmds_small)
snstatsall <- Seine_nmds_larger%>%
group_by(CommonName) %>%
summarize(mean = mean(CPUE),
max = max(CPUE),
min = min(CPUE),
sum = sum(CPUE),
CV = sd(CPUE)/mean,
zeros = sum(CPUE == 0),
n = n(),
prop.absent = round(zeros/n,2))
snstats <- Seine_nmds_0 %>%
group_by(CommonName) %>%
summarize(mean = mean(CPUE),
max = max(CPUE),
min = min(CPUE),
sum = sum(CPUE),
CV = sd(CPUE)/mean,
zeros = sum(CPUE == 0),
n = n(),
prop.absent = round(zeros/n,2))
notabund <- c("Hardhead", "Smallmouth Bass", "Longfin Smelt", "Hitch", "Wakasagi", "Delta Smelt", "Sacramento Blackfish")
Seine_nmds <- filter(Seine_nmds_0, !(CommonName %in% notabund))
# Overall CPUE
par(mfrow = c(1,1))
index= seq(1,length(Seine_nmds$CPUE))
# Explore each species - look for outliers here by adding and removing species
Seine_nmds%>%
plot_ly() %>%
add_trace(x = ~index,
y = ~CPUE,
color = ~CommonName,
colors = "Set3",
type = "scatter")
ggplot(Seine_nmds,aes(x = Survey, y = CPUE)) + geom_violin()
# Threadfin vs environmental
threadfin1 <- ggplot(Seine_tf, aes(x = WTemp, y = CPUE)) + geom_point() + theme_bw()
threadfin2 <- ggplot(Seine_tf, aes(x = Cond, y = CPUE)) + geom_point() + theme_bw()
threadfin3 <- ggplot(Seine_tf, aes(x = Turb, y = CPUE)) + geom_point() + theme_bw()
threadfin4 <- ggplot(Seine_tf, aes(x = DOx, y = CPUE)) + geom_point() + theme_bw()
grid.arrange(threadfin1, threadfin2, threadfin3, threadfin4, top = "Threadfin CPUE by Environmental Variable")
# Sac Sucker vs environmental
sucker1 <- ggplot(Seine_sucker, aes(x = WTemp, y = CPUE)) + geom_point() + theme_bw()
sucker2 <- ggplot(Seine_sucker, aes(x = Cond, y = CPUE)) + geom_point() + theme_bw()
sucker3 <- ggplot(Seine_sucker, aes(x = Turb, y = CPUE)) + geom_point() + theme_bw()
sucker4 <- ggplot(Seine_sucker, aes(x = DOx, y = CPUE)) + geom_point() + theme_bw()
grid.arrange(sucker1, sucker2, sucker3,sucker4, top = "Sac Sucker CPUE by Environmental Variable")
# Largemouth Bass vs environmental
lmb1 <- ggplot(Seine_lmb, aes(x = WTemp, y = CPUE)) + geom_point() + theme_bw()
lmb2 <- ggplot(Seine_lmb, aes(x = Cond, y = CPUE)) + geom_point() + theme_bw()
lmb3 <- ggplot(Seine_lmb, aes(x = Turb, y = CPUE)) + geom_point() + theme_bw()
lmb4 <- ggplot(Seine_lmb, aes(x = DOx, y = CPUE)) + geom_point() + theme_bw()
grid.arrange(lmb1, lmb2, lmb3, lmb4, top = "Largemouth Bass CPUE by Environmental Variable")
# Environmental Matrix
Seine_env <- Seine_nmds %>% dplyr::select(c(26:30))
# Check for normality of variables
cond <- Seine_env$Cond
temp <- Seine_env$WTemp
sd <- Seine_env$SecDepth
turb <- Seine_env$Turb
do <- Seine_env$DOx
hist(cond)
hist(log(cond+1)) # Use this
qqnorm(log(cond+1))
hist(temp)
hist(log(temp+1)) # Use this
hist(sqrt(temp))
qqnorm(temp)
qqnorm(log(temp+1))
hist(sd) # Keep it?
hist(log(sd+1))
qqnorm(sd)
qqnorm(log(sd+1))
hist(turb)
hist(sqrt(turb))
hist(log(turb+1))
qqnorm(log(turb+1)) # Use this
hist(do) # Keep it
qqnorm(do)
source('biostats.R')
library(vegan)
library(ggfortify)
### Transform to get close to normality assumptions
Seine_env_t <- Seine_env %>% mutate(Cond = log(Cond + 1),
WTemp = log(WTemp + 1),
Turb = log(Turb + 1)) %>%
as.data.frame()
row.names(Seine_env_t) <- row.names(Seine_nmds)
### Run PCA. Center and Scale the data (correlation matrix).
pca.env <- prcomp(Seine_env_t, center=T, scale.=T)
summary(pca.env)
## Importance of components:
## PC1 PC2 PC3 PC4 PC5
## Standard deviation 1.2753 1.0883 0.9671 0.8395 0.7409
## Proportion of Variance 0.3253 0.2369 0.1871 0.1409 0.1098
## Cumulative Proportion 0.3253 0.5622 0.7493 0.8902 1.0000
### Check how well PCA worked
# Scree Plot with Broken Stick values.
# If eigenvalue is greater than broken stick value it is "significant"
screeplot(pca.env, bstick = TRUE) # According to this, don't keep PC1 and PC2
# Monte Carlo Randomization
# ordi.monte(Seine_env_t, ord = 'pca', dim = 5) # According to this, keep PC1 and PC2
### Check which variables matter
# Loadings. Generally, if magnitude >/= 0.3 this is important.
pca.env$rotation
## PC1 PC2 PC3 PC4 PC5
## Cond 0.6304380 -0.0905027 0.1954761 0.1341801 0.7335816
## WTemp 0.3416972 -0.1680611 -0.8754499 0.2677061 -0.1300744
## SecDepth -0.1154881 -0.7468789 0.2948387 0.5583648 -0.1735892
## Turb 0.4559743 0.5028889 0.2947192 0.4583440 -0.4921906
## DOx -0.5143354 0.3909467 -0.1469260 0.6232806 0.4153961
# Structure coefficients: linear correlations between original variables and PC scores
pca.structure(pca.env, Seine_env_t, dim = 5, cutoff = 0.4)
##
## Structure Correlations:
## PC1 PC2 PC3 PC4 PC5
## Cond 0.804 0.544
## WTemp 0.436 -0.847
## SecDepth -0.813 0.469
## Turb 0.582 0.547
## DOx -0.656 0.425 0.523
# Autoplot has best customization, looks nice
# use the "data = " to bring in original dataset so we can
# color-code by factors
autoplot(pca.env, data = Seine_nmds, colour = 'ActionPhase', loadings = TRUE,
loadings.label = TRUE,
loadings.colour = "black",
loadings.label.vjust = -.5,
loadings.label.col = "black",
loadings.label.size = 4,
loadings.label.font = 4) +
theme_bw()
autoplot(pca.env, data = Seine_nmds, colour = 'WYType', loadings = TRUE,
loadings.label = TRUE,
loadings.colour = "black",
loadings.label.vjust = -.5,
loadings.label.col = "black",
loadings.label.size = 4,
loadings.label.font = 4) +
theme_bw()
Seine_f_sp <- Seine_nmds %>% dplyr::select(c("Survey", "StationCode", "Region", "Date", "FlowPulseType", "WYType",
"ActionPhase", "Month", "CommonName", "CPUE", "Cond",
"WTemp", "SecDepth", "Turb", "DOx"))
# Species Matrix
Seine_sp_w <- Seine_f_sp %>% pivot_wider(names_from = CommonName, values_from = CPUE, values_fill = list(CPUE=0)) %>% ungroup()
# Remove any row where there is no catch for the day.
Seine_sp_sum <- Seine_sp_w %>% mutate(Total = dplyr::select(., 14:25) %>% rowSums(na.rm = TRUE)) %>%
filter(Total !=0)
# Sqrt transform data
sqrt.seine <- Seine_sp_sum %>% mutate_if(is.numeric, function(x) {
sqrt(x)
})
# Log transform data
log.seine <- Seine_sp_sum %>% mutate_if(is.numeric, function(x) {
log(x + 1) })
# Absence/Presence data
bin.seine <- Seine_sp_sum %>% mutate_if(is.numeric, function(x) {
case_when(x>0 ~0,
x ==0 ~1)})
# Try binning by month
# Sum data by week
Seine_f_sp$Week <- week(Seine_f_sp$Date)
Seine_f_sp$Year <- year(Seine_f_sp$Date)
Seine_month <- Seine_f_sp %>% group_by(Survey, FlowPulseType, WYType, ActionPhase, Region, StationCode, Year, Month, CommonName) %>%
summarize(mean.CPUE = mean(CPUE),
mean.Cond = mean(Cond),
mean.WTemp = mean(WTemp),
mean.SD = mean(SecDepth),
mean.Turb = mean(Turb),
mean.DO = mean(DOx))
# Species Matrix
Seine_month_w <- Seine_month %>% pivot_wider(names_from = CommonName, values_from = mean.CPUE, values_fill = list(mean.CPUE=0)) %>% ungroup()
# Remove any row where there is no catch for the day.
Seine_month_sum <- Seine_month_w %>% mutate(Total = dplyr::select(., 14:25) %>% rowSums(na.rm = TRUE)) %>%
filter(Total !=0)
# Transform
sqrt.seine2 <- Seine_month_sum %>% mutate_if(is.numeric, function(x) {
sqrt(x)
})
library(vegan)
test.seine <- sample_n(sqrt.seine, 200)
str(test.seine)
# NMDS Seine
# This can be slow
seine.nmds <- metaMDS(test.seine[,14:25], distance="bray", k=2, trymax=1200, autotransform = FALSE)
seine.nmds
# Scree Plot - what should k=?
# This can be slow
nmds.scree(test.seine[,14:25], distance='bray', k=5, trymax = 300, autotransform = FALSE)
### Check NMDS solution
# Large scatter is not good
stressplot(seine.nmds)
### NMDS scores
seine.scores <- as.data.frame(scores(seine.nmds))
species.scores <- as.data.frame(scores(seine.nmds, "species"))
species.scores$species <- rownames(species.scores)
# Need a category to merge scores with the rest of env data
row.names(seine.scores) <- row.names(test.seine)
seine.nmdsplot <- cbind(seine.scores, test.seine)
# Prettier Plots
# Option 1
ggplot(seine.nmdsplot, aes(NMDS1, NMDS2, color = ActionPhase)) +
geom_point(position = position_jitter(.1)) +
geom_text(aes(label = WYType)) +
stat_ellipse(type = 't', size = 1) +
annotate("text", x = min(seine.nmdsplot$NMDS1), y = min(seine.nmdsplot$NMDS2), label = paste('Stress = ', round(seine.nmds$stress,3))) + # Add stress to plot
theme_minimal()
# Prettier Plots
# Option 1
ggplot(seine.nmdsplot, aes(NMDS1, NMDS2, color = Region)) +
geom_point(position = position_jitter(.1)) +
geom_text(aes(label = WYType)) +
stat_ellipse(type = 't', size = 1) +
annotate("text", x = min(seine.nmdsplot$NMDS1), y = min(seine.nmdsplot$NMDS2), label = paste('Stress = ', round(seine.nmds$stress,3))) + # Add stress to plot
theme_minimal()
# Option 2
# With species scores and boxes
# Make the datasets for the boxes
grp.a <- seine.nmdsplot[seine.nmdsplot$ActionPhase == "Pre", ][chull(seine.nmdsplot[seine.nmdsplot$ActionPhase ==
"Pre", c("NMDS1", "NMDS2")]), ] # hull values for grp A
grp.b <- seine.nmdsplot[seine.nmdsplot$ActionPhase == "During", ][chull(seine.nmdsplot[seine.nmdsplot$ActionPhase ==
"During", c("NMDS1", "NMDS2")]), ] # hull values for grp B
grp.c<- seine.nmdsplot[seine.nmdsplot$ActionPhase == "Post", ][chull(seine.nmdsplot[seine.nmdsplot$ActionPhase ==
"Post", c("NMDS1", "NMDS2")]), ] # hull values for grp C
hull.data0 <- rbind(grp.a, grp.b) #combine grp.a and grp.b
hull.data <- rbind(hull.data0,grp.c)
# Plot
ggplot() +
geom_point(data = seine.nmdsplot, aes(x = NMDS1, y = NMDS2, color = ActionPhase),
position = position_jitter(.1)) +
geom_text(data = seine.nmdsplot, aes(NMDS1, NMDS2, label = WYType, color = ActionPhase)) +
geom_text(data = species.scores, aes(x = NMDS1, y = NMDS2, label= species), color = "black", size = 5) +
theme_minimal() +
annotate("text", x = min(seine.nmdsplot$NMDS1), y = min(seine.nmdsplot$NMDS2), label = paste('Stress = ', round(seine.nmds$stress,3))) + # Add stress to plot
geom_polygon(data=hull.data,aes(x=NMDS1,y=NMDS2,fill=ActionPhase,group=ActionPhase),alpha=0.30)
# Row standardization
seine.st <- data.stand(Seine_sp_sum[,14:25], method = 'total', margin = 'row', plot = F)
# Individual permanova models
(perm.Region <- adonis(formula = seine.st~Region, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Region, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Region 4 42.78 10.6945 54.44 0.11947 0.01 **
## Residuals 1605 315.30 0.1964 0.88053
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.WY <- adonis(formula = seine.st~WYType, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ WYType, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## WYType 3 3.09 1.02896 4.6551 0.00862 0.01 **
## Residuals 1606 354.99 0.22104 0.99138
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.WTemp <- adonis(formula = seine.st~WTemp, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ WTemp, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## WTemp 1 3.10 3.09835 14.035 0.00865 0.01 **
## Residuals 1608 354.98 0.22076 0.99135
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.Month <- adonis(formula = seine.st~Month, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Month, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Month 5 6.10 1.21925 5.5562 0.01703 0.01 **
## Residuals 1604 351.98 0.21944 0.98297
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.Survey <- adonis(formula = seine.st~Survey, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Survey, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Survey 1 29.18 29.1822 142.68 0.0815 0.01 **
## Residuals 1608 328.89 0.2045 0.9185
## Total 1609 358.08 1.0000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.WY <- adonis(formula = seine.st~WYType, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ WYType, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## WYType 3 3.09 1.02896 4.6551 0.00862 0.01 **
## Residuals 1606 354.99 0.22104 0.99138
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.Action <- adonis(formula = seine.st~ActionPhase, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ ActionPhase, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## ActionPhase 2 2.55 1.27653 5.7701 0.00713 0.01 **
## Residuals 1607 355.52 0.22123 0.99287
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.FlowPulse <- adonis(formula = seine.st~FlowPulseType, data = Seine_sp_sum, method = "bray", permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ FlowPulseType, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## FlowPulseType 3 2.18 0.72766 3.2836 0.0061 0.01 **
## Residuals 1606 355.89 0.22160 0.9939
## Total 1609 358.08 1.0000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Multiple variables
# StationCode, Month, WYType, ActionPhase
(perm.2 <- adonis(formula = seine.st~Region + Month + Region:Month, data = Seine_sp_sum, method = "bray",
permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Region + Month + Region:Month, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Region 4 42.78 10.6945 56.163 0.11947 0.01 **
## Month 5 5.30 1.0594 5.564 0.01479 0.01 **
## Region:Month 20 9.14 0.4568 2.399 0.02552 0.01 **
## Residuals 1580 300.86 0.1904 0.84022
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.3 <- adonis(formula = seine.st~Region*Month + WYType, data = Seine_sp_sum, method = "bray",
permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Region * Month + WYType, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Region 4 42.78 10.6945 56.506 0.11947 0.01 **
## Month 5 5.30 1.0594 5.598 0.01479 0.01 **
## WYType 3 2.42 0.8070 4.264 0.00676 0.01 **
## Region:Month 20 9.11 0.4555 2.407 0.02544 0.01 **
## Residuals 1577 298.47 0.1893 0.83353
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.4 <- adonis(formula = seine.st~Region * Month + Region*WYType + ActionPhase, data = Seine_sp_sum, method = "bray",
permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Region * Month + Region * WYType + ActionPhase, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Region 4 42.78 10.6945 57.939 0.11947 0.01 **
## Month 5 5.30 1.0594 5.740 0.01479 0.01 **
## WYType 3 2.42 0.8070 4.372 0.00676 0.01 **
## ActionPhase 2 1.21 0.6051 3.278 0.00338 0.01 **
## Region:Month 20 8.97 0.4486 2.430 0.02506 0.01 **
## Region:WYType 12 8.89 0.7411 4.015 0.02484 0.01 **
## Residuals 1563 288.50 0.1846 0.80571
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(perm.5 <- adonis(formula = seine.st~Region * Month + Region*WYType + ActionPhase + Region*FlowPulseType, data = Seine_sp_sum, method = "bray",
permutations = 99))
##
## Call:
## adonis(formula = seine.st ~ Region * Month + Region * WYType + ActionPhase + Region * FlowPulseType, data = Seine_sp_sum, permutations = 99, method = "bray")
##
## Permutation: free
## Number of permutations: 99
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## Region 4 42.78 10.6945 58.562 0.11947 0.01 **
## Month 5 5.30 1.0594 5.801 0.01479 0.01 **
## WYType 3 2.42 0.8070 4.419 0.00676 0.01 **
## ActionPhase 2 1.21 0.6051 3.313 0.00338 0.01 **
## FlowPulseType 3 1.52 0.5074 2.778 0.00425 0.01 **
## Region:Month 20 8.96 0.4482 2.454 0.02504 0.01 **
## Region:WYType 12 8.83 0.7362 4.031 0.02467 0.01 **
## Region:FlowPulseType 12 4.35 0.3627 1.986 0.01216 0.01 **
## Residuals 1548 282.70 0.1826 0.78949
## Total 1609 358.08 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Make dissimilarity matrix
spe.d <- vegdist(seine.st, "bray")
# StationCode
(sp.bdp <- betadisper(spe.d, Seine_sp_sum$Region))
##
## Homogeneity of multivariate dispersions
##
## Call: betadisper(d = spe.d, group = Seine_sp_sum$Region)
##
## No. of Positive Eigenvalues: 294
## No. of Negative Eigenvalues: 787
##
## Average distance to median:
## CacheSloughComplex CentralYolo LowerSacRiver LowerYolo
## 0.2502 0.3545 0.2174 0.3711
## MiddleSacRiver
## 0.4139
##
## Eigenvalues for PCoA axes:
## (Showing 8 of 1081 eigenvalues)
## PCoA1 PCoA2 PCoA3 PCoA4 PCoA5 PCoA6 PCoA7 PCoA8
## 142.59 62.00 34.55 25.24 24.39 22.07 19.02 18.54
anova(sp.bdp)
## Analysis of Variance Table
##
## Response: Distances
## Df Sum Sq Mean Sq F value Pr(>F)
## Groups 4 9.096 2.27412 18.922 3.234e-15 ***
## Residuals 1605 192.890 0.12018
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
permutest(sp.bdp,pairwise=TRUE)
##
## Permutation test for homogeneity of multivariate dispersions
## Permutation: free
## Number of permutations: 999
##
## Response: Distances
## Df Sum Sq Mean Sq F N.Perm Pr(>F)
## Groups 4 9.096 2.27412 18.922 999 0.001 ***
## Residuals 1605 192.890 0.12018
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Pairwise comparisons:
## (Observed p-value below diagonal, permuted p-value above diagonal)
## CacheSloughComplex CentralYolo LowerSacRiver LowerYolo
## CacheSloughComplex 1.0000e-03 2.3000e-01 1.0000e-03
## CentralYolo 2.6781e-06 1.0000e-03 3.9100e-01
## LowerSacRiver 2.6384e-01 1.8360e-08 1.0000e-03
## LowerYolo 6.8259e-07 3.5894e-01 2.1474e-08
## MiddleSacRiver 1.1012e-09 4.4308e-02 1.5893e-07 1.7551e-01
## MiddleSacRiver
## CacheSloughComplex 0.001
## CentralYolo 0.050
## LowerSacRiver 0.001
## LowerYolo 0.184
## MiddleSacRiver
plot(sp.bdp, ellipse = TRUE)
boxplot(sp.bdp)
# Month
(sp.bdp2 <- betadisper(spe.d, Seine_sp_sum$Month))
##
## Homogeneity of multivariate dispersions
##
## Call: betadisper(d = spe.d, group = Seine_sp_sum$Month)
##
## No. of Positive Eigenvalues: 294
## No. of Negative Eigenvalues: 787
##
## Average distance to median:
## 6 7 8 9 10 11
## 0.5940 0.4078 0.3614 0.3455 0.3889 0.3987
##
## Eigenvalues for PCoA axes:
## (Showing 8 of 1081 eigenvalues)
## PCoA1 PCoA2 PCoA3 PCoA4 PCoA5 PCoA6 PCoA7 PCoA8
## 142.59 62.00 34.55 25.24 24.39 22.07 19.02 18.54
anova(sp.bdp2)
## Analysis of Variance Table
##
## Response: Distances
## Df Sum Sq Mean Sq F value Pr(>F)
## Groups 5 2.006 0.40114 3.3466 0.005187 **
## Residuals 1604 192.263 0.11986
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
permutest(sp.bdp2,pairwise=TRUE)
##
## Permutation test for homogeneity of multivariate dispersions
## Permutation: free
## Number of permutations: 999
##
## Response: Distances
## Df Sum Sq Mean Sq F N.Perm Pr(>F)
## Groups 5 2.006 0.40114 3.3466 999 0.006 **
## Residuals 1604 192.263 0.11986
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Pairwise comparisons:
## (Observed p-value below diagonal, permuted p-value above diagonal)
## 6 7 8 9 10 11
## 6 0.00400000 0.00100000 0.00100000 0.00300000 0.010
## 7 0.00589699 0.16800000 0.09000000 0.61600000 0.884
## 8 0.00030353 0.17233564 0.44200000 0.23900000 0.437
## 9 0.00029747 0.08935643 0.46255086 0.09200000 0.285
## 10 0.00403739 0.61937007 0.22506651 0.08158716 0.857
## 11 0.00767118 0.87018153 0.41620055 0.27964219 0.84799411
plot(sp.bdp2, ellipse = TRUE)
boxplot(sp.bdp2)
# WYType
sp.bdp3 <- betadisper(spe.d, Seine_sp_sum$WYType)
sp.bdp3
##
## Homogeneity of multivariate dispersions
##
## Call: betadisper(d = spe.d, group = Seine_sp_sum$WYType)
##
## No. of Positive Eigenvalues: 294
## No. of Negative Eigenvalues: 787
##
## Average distance to median:
## BN C D W
## 0.3799 0.3255 0.4120 0.3894
##
## Eigenvalues for PCoA axes:
## (Showing 8 of 1081 eigenvalues)
## PCoA1 PCoA2 PCoA3 PCoA4 PCoA5 PCoA6 PCoA7 PCoA8
## 142.59 62.00 34.55 25.24 24.39 22.07 19.02 18.54
anova(sp.bdp3)
## Analysis of Variance Table
##
## Response: Distances
## Df Sum Sq Mean Sq F value Pr(>F)
## Groups 3 1.263 0.42085 3.4755 0.01548 *
## Residuals 1606 194.476 0.12109
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
permutest(sp.bdp3,pairwise=TRUE)
##
## Permutation test for homogeneity of multivariate dispersions
## Permutation: free
## Number of permutations: 999
##
## Response: Distances
## Df Sum Sq Mean Sq F N.Perm Pr(>F)
## Groups 3 1.263 0.42085 3.4755 999 0.022 *
## Residuals 1606 194.476 0.12109
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Pairwise comparisons:
## (Observed p-value below diagonal, permuted p-value above diagonal)
## BN C D W
## BN 0.0310000 0.2960000 0.635
## C 0.0306297 0.0130000 0.012
## D 0.3032466 0.0097894 0.440
## W 0.6470484 0.0055393 0.4275720
plot(sp.bdp3, ellipse = TRUE)
boxplot(sp.bdp3)
# ActionPhase
sp.bdp4 <- betadisper(spe.d, Seine_sp_sum$ActionPhase)
sp.bdp4
##
## Homogeneity of multivariate dispersions
##
## Call: betadisper(d = spe.d, group = Seine_sp_sum$ActionPhase)
##
## No. of Positive Eigenvalues: 294
## No. of Negative Eigenvalues: 787
##
## Average distance to median:
## Pre During Post
## 0.4138 0.3394 0.3814
##
## Eigenvalues for PCoA axes:
## (Showing 8 of 1081 eigenvalues)
## PCoA1 PCoA2 PCoA3 PCoA4 PCoA5 PCoA6 PCoA7 PCoA8
## 142.59 62.00 34.55 25.24 24.39 22.07 19.02 18.54
anova(sp.bdp4)
## Analysis of Variance Table
##
## Response: Distances
## Df Sum Sq Mean Sq F value Pr(>F)
## Groups 2 1.537 0.76831 6.3302 0.001826 **
## Residuals 1607 195.045 0.12137
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
permutest(sp.bdp4,pairwise=TRUE)
##
## Permutation test for homogeneity of multivariate dispersions
## Permutation: free
## Number of permutations: 999
##
## Response: Distances
## Df Sum Sq Mean Sq F N.Perm Pr(>F)
## Groups 2 1.537 0.76831 6.3302 999 0.003 **
## Residuals 1607 195.045 0.12137
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Pairwise comparisons:
## (Observed p-value below diagonal, permuted p-value above diagonal)
## Pre During Post
## Pre 0.00100000 0.154
## During 0.00030026 0.049
## Post 0.15430722 0.04585440
plot(sp.bdp4, ellipse = TRUE)
boxplot(sp.bdp4)
# FlowPulseType
sp.bdp5 <- betadisper(spe.d, Seine_sp_sum$FlowPulseType)
sp.bdp5
##
## Homogeneity of multivariate dispersions
##
## Call: betadisper(d = spe.d, group = Seine_sp_sum$FlowPulseType)
##
## No. of Positive Eigenvalues: 294
## No. of Negative Eigenvalues: 787
##
## Average distance to median:
## CA MA-Ag MA-SR NF
## 0.3982 0.3813 0.4100 0.3582
##
## Eigenvalues for PCoA axes:
## (Showing 8 of 1081 eigenvalues)
## PCoA1 PCoA2 PCoA3 PCoA4 PCoA5 PCoA6 PCoA7 PCoA8
## 142.59 62.00 34.55 25.24 24.39 22.07 19.02 18.54
anova(sp.bdp5)
## Analysis of Variance Table
##
## Response: Distances
## Df Sum Sq Mean Sq F value Pr(>F)
## Groups 3 0.619 0.20647 1.6972 0.1657
## Residuals 1606 195.367 0.12165
permutest(sp.bdp5,pairwise=TRUE)
##
## Permutation test for homogeneity of multivariate dispersions
## Permutation: free
## Number of permutations: 999
##
## Response: Distances
## Df Sum Sq Mean Sq F N.Perm Pr(>F)
## Groups 3 0.619 0.20647 1.6972 999 0.159
## Residuals 1606 195.367 0.12165
##
## Pairwise comparisons:
## (Observed p-value below diagonal, permuted p-value above diagonal)
## CA MA-Ag MA-SR NF
## CA 0.56200 0.73000 0.063
## MA-Ag 0.56724 0.47000 0.361
## MA-SR 0.72630 0.46347 0.120
## NF 0.06312 0.37808 0.10734
plot(sp.bdp5, ellipse = TRUE)
boxplot(sp.bdp5)
# Prepare continuous data
seine.env.scaled <- as.data.frame(scale(Seine_sp_sum[,c(9:10, 12:13)]),center = "TRUE", scale = "TRUE")
seine.env.f <- cbind(seine.env.scaled, Seine_sp_sum[,c("Region", "WYType", "ActionPhase", "FlowPulseType", "Month")])
unique(Seine_sp_sum$Region)
## [1] MiddleSacRiver CacheSloughComplex LowerSacRiver CentralYolo
## [5] LowerYolo
## 6 Levels: CacheSloughComplex CentralYolo ColusaDrainRCS ... MiddleSacRiver
# Prepare species data
seine.sp <- sqrt.seine[,14:25]
# Check unimodal distribution
# Axis length > 4 = unimodal (CCA)
# 2-4 probably unimodal
# <2 = linear model
decorana(seine.sp, ira=0)
##
## Call:
## decorana(veg = seine.sp, ira = 0)
##
## Detrended correspondence analysis with 26 segments.
## Rescaling of axes with 4 iterations.
##
## DCA1 DCA2 DCA3 DCA4
## Eigenvalues 0.4822 0.4194 0.2702 0.2582
## Decorana values 0.5982 0.3530 0.2407 0.1847
## Axis lengths 4.4706 5.3601 4.2156 4.3944
# Run CCA
spe.cca <- cca(seine.sp ~.,seine.env.f)
summary(spe.cca)
##
## Call:
## cca(formula = seine.sp ~ Cond + WTemp + Turb + DOx + Region + WYType + ActionPhase + FlowPulseType + Month, data = seine.env.f)
##
## Partitioning of scaled Chi-square:
## Inertia Proportion
## Total 2.9507 1.000
## Constrained 0.5106 0.173
## Unconstrained 2.4401 0.827
##
## Eigenvalues, and their contribution to the scaled Chi-square
##
## Importance of components:
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6 CCA7
## Eigenvalue 0.2629 0.10954 0.05798 0.03001 0.015605 0.013115 0.007742
## Proportion Explained 0.0891 0.03712 0.01965 0.01017 0.005289 0.004445 0.002624
## Cumulative Proportion 0.0891 0.12622 0.14587 0.15604 0.161330 0.165775 0.168398
## CCA8 CCA9 CCA10 CCA11 CA1 CA2
## Eigenvalue 0.007260 0.0028227 0.002296 0.0013393 0.4934 0.3807
## Proportion Explained 0.002461 0.0009566 0.000778 0.0004539 0.1672 0.1290
## Cumulative Proportion 0.170859 0.1718155 0.172593 0.1730474 0.3403 0.4693
## CA3 CA4 CA5 CA6 CA7 CA8 CA9
## Eigenvalue 0.27044 0.24972 0.19435 0.19160 0.18533 0.14996 0.12417
## Proportion Explained 0.09165 0.08463 0.06587 0.06493 0.06281 0.05082 0.04208
## Cumulative Proportion 0.56092 0.64555 0.71142 0.77635 0.83916 0.88999 0.93207
## CA10 CA11
## Eigenvalue 0.11175 0.08869
## Proportion Explained 0.03787 0.03006
## Cumulative Proportion 0.96994 1.00000
##
## Accumulated constrained eigenvalues
## Importance of components:
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6 CCA7
## Eigenvalue 0.2629 0.1095 0.05798 0.03001 0.01561 0.01311 0.007742
## Proportion Explained 0.5149 0.2145 0.11355 0.05877 0.03056 0.02568 0.015161
## Cumulative Proportion 0.5149 0.7294 0.84296 0.90173 0.93229 0.95797 0.973134
## CCA8 CCA9 CCA10 CCA11
## Eigenvalue 0.00726 0.002823 0.002296 0.001339
## Proportion Explained 0.01422 0.005528 0.004496 0.002623
## Cumulative Proportion 0.98735 0.992881 0.997377 1.000000
##
## Scaling 2 for species and site scores
## * Species are scaled proportional to eigenvalues
## * Sites are unscaled: weighted dispersion equal on all dimensions
##
##
## Species scores
##
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6
## American Shad -0.3841 -0.20980 -0.58743 -0.03203 -0.08414 0.196517
## Bigscale Logperch 0.9329 0.03495 -0.00828 -0.17376 -0.05012 0.057312
## Black Crappie 1.3219 0.27045 -0.21050 -0.10993 0.17872 -0.172097
## Bluegill 1.2065 0.34274 0.10484 0.37296 0.14234 0.199908
## Inland Silverside -0.2445 -0.09346 0.08654 0.04436 0.01261 -0.018730
## Largemouth Bass 0.2379 0.18258 -0.08157 0.19929 -0.30355 0.139793
## Sacramento Pikeminnow -0.6838 1.07626 -0.32999 -0.05655 -0.11543 -0.004414
## Sacramento Sucker -0.8346 1.67892 -0.30172 -0.16540 0.36727 -0.144164
## Splittail -0.4067 0.54463 -1.40773 0.61095 -0.79030 -0.125964
## Spotted Bass -0.7767 0.82187 0.86054 -0.91506 -0.32607 0.674791
## Striped Bass -0.2743 -0.70523 -0.88603 -0.23782 0.28135 0.275207
## Threadfin Shad 0.5879 -0.07979 -0.05669 -0.23903 -0.07835 -0.140711
##
##
## Site scores (weighted averages of species scores)
##
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6
## row1 -2.868437 14.3021709 -4.919e+00 -4.600e+00 2.031e+01 -9.368e+00
## row2 -2.343410 8.9632480 -4.922e+00 -1.037e+00 3.192e+00 -5.043e+00
## row3 -2.011955 9.0146711 -4.474e+00 -2.188e+00 8.852e+00 -7.922e+00
## row4 -1.881104 6.7259093 -6.002e+00 1.467e+00 -3.519e+00 -5.208e+00
## row5 -2.349302 10.3776620 -5.060e+00 -1.883e+00 -3.546e-01 -1.966e+00
## row6 -0.879505 0.6757211 3.076e-01 1.771e+00 -2.747e+00 2.651e-01
## row7 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row8 -1.920732 5.9830597 -1.956e+00 -1.195e+00 5.209e+00 -3.809e+00
## row9 0.064454 1.3425657 -3.917e+00 1.622e+00 -6.737e+00 -2.190e+00
## row10 -0.987410 -0.5405630 -5.522e+00 2.517e+00 -7.982e+00 5.858e+00
## row11 -0.939439 -1.3239590 7.861e-02 6.857e-01 2.260e+00 4.611e-01
## row12 -1.016167 0.6456891 -7.349e+00 4.444e+00 -1.310e+01 1.664e+00
## row13 -0.713334 -0.9120108 5.447e-01 5.652e-01 -5.494e-02 -1.103e+00
## row14 -0.859883 1.7233958 -1.905e+00 2.669e+00 -5.041e+00 -9.546e-01
## row15 -1.144787 -3.0688605 -7.974e+00 -2.505e+00 4.482e+00 1.151e+01
## row16 -0.758453 2.2133106 -8.607e+00 6.622e+00 -1.662e+01 -2.748e+00
## row17 -1.027934 0.7003818 3.691e-01 1.377e+00 -1.578e+00 -4.997e-01
## row18 -0.418312 1.6647404 -8.400e+00 -1.284e+00 -7.295e+00 2.158e+00
## row19 -1.362878 5.3958356 -8.656e+00 6.398e+00 -1.488e+01 -3.282e+00
## row20 -2.637254 11.4543680 -3.601e+00 -3.839e+00 1.810e+01 -8.703e+00
## row21 -2.685951 11.1416170 -4.815e+00 -3.096e+00 6.384e+00 -4.922e+00
## row22 -2.260673 12.2670130 -4.353e+00 -2.790e+00 1.391e+01 -6.142e+00
## row23 -1.730341 4.7422562 -1.177e+00 -7.792e-01 5.701e+00 -3.789e+00
## row24 -1.782071 9.0834331 -4.359e+00 -5.168e-01 -2.126e+00 -2.417e-01
## row25 0.236819 -0.4575326 3.726e-01 -4.824e-01 -3.751e+00 -2.359e+00
## row26 2.564791 0.7062283 6.619e-01 1.132e+00 1.194e+00 3.151e+00
## row27 1.954435 0.2175718 4.051e-02 -1.257e+00 7.920e-01 -2.786e+00
## row28 1.718813 0.6232343 7.285e-01 2.686e+00 3.244e+00 8.803e-01
## row29 1.385183 0.5502474 -3.641e-01 2.056e+00 -2.526e-01 -9.660e-02
## row30 1.877202 -0.0243076 -3.312e-01 -1.032e+00 -7.543e-01 -5.905e-01
## row31 1.417876 -0.0227866 -1.928e+00 -1.298e+00 -2.216e+00 -2.930e+00
## row32 2.455298 0.6665579 2.565e-01 3.623e-01 1.878e+00 4.181e-01
## row33 1.792316 0.4082158 -1.033e+00 -2.042e+00 -3.392e-01 -3.060e-01
## row34 1.576917 -0.7486472 -1.647e+00 -3.767e+00 1.358e+00 1.315e+00
## row35 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row36 2.782070 1.7398211 -4.197e+00 5.532e-01 -2.657e-01 -7.300e+00
## row37 -0.641776 -1.2796515 -1.310e+00 -4.718e-01 1.513e-01 9.726e-01
## row38 0.206704 -1.4176096 -2.478e+00 -2.058e+00 4.507e+00 -7.127e-02
## row39 -0.935927 -1.1510555 5.979e-01 9.768e-01 1.727e+00 -2.327e-01
## row40 -0.531499 -0.3124669 -3.727e+00 -4.325e-01 -2.091e+00 9.324e-01
## row41 -0.868069 -0.7280445 -2.895e+00 1.003e+00 -7.864e-01 1.383e+00
## row42 0.003934 -0.8163734 7.640e-01 -1.307e+00 -9.110e-01 -4.171e+00
## row43 -0.792974 -1.0980405 6.296e-01 6.331e-01 1.319e+00 -8.402e-01
## row44 0.109326 0.4024667 -2.019e+00 2.861e+00 -5.614e+00 -1.798e+00
## row45 -0.663046 -1.6475141 -1.148e+00 -7.227e-01 2.771e+00 9.724e-01
## row46 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row47 -1.477664 7.2115196 -4.319e+00 8.469e-01 -1.126e+01 3.186e+00
## row48 -0.194731 0.3907798 -1.569e+00 4.780e-01 -2.504e+00 -2.002e+00
## row49 0.259024 -0.0934723 -1.182e+00 -7.200e-01 -2.522e+00 -3.869e+00
## row50 -0.715416 -0.6109902 -3.579e+00 -1.684e+00 -6.466e-01 2.829e+00
## row51 -1.174648 0.7487793 -6.554e+00 -3.131e+00 3.350e+00 5.243e+00
## row52 -0.621289 0.1424785 -1.942e+00 2.156e+00 -3.492e+00 -1.989e+00
## row53 0.040710 -1.4217528 -2.507e+00 -2.843e+00 -7.684e-01 -1.788e-01
## row54 -0.346232 -1.5096958 -1.929e+00 -1.686e+00 7.429e-01 6.471e-01
## row55 -0.989345 1.1330360 -5.866e+00 2.733e+00 -6.785e+00 -5.564e-01
## row56 -2.612323 11.1636910 -3.705e+00 -3.612e+00 1.580e+01 -7.930e+00
## row57 -0.878520 3.2839702 -1.668e+00 2.043e+00 -8.114e+00 2.703e+00
## row58 -1.058567 -3.8078794 -1.142e+01 -2.650e+00 6.792e+00 1.185e+01
## row59 0.666910 1.0199050 -1.183e+00 -4.691e+00 -4.032e+00 -6.762e+00
## row60 -1.740025 5.6354179 -3.163e+00 4.565e-01 4.208e-01 -3.207e+00
## row61 -1.932632 7.5652800 -2.488e+00 -1.468e+00 7.755e+00 -4.333e+00
## row62 -1.580586 3.8374426 -4.487e-01 -5.482e-01 7.397e+00 -4.201e+00
## row63 -1.751472 8.4923538 -4.470e+00 -1.639e-01 -5.844e+00 9.594e-01
## row64 -1.049858 1.4347994 4.785e+00 -8.495e+00 -5.882e+00 1.168e+01
## row65 -2.847786 12.1938218 -5.482e+00 -3.446e+00 5.920e+00 -4.924e+00
## row66 -2.326511 9.1025303 -2.854e+00 -2.721e+00 1.289e+01 -6.707e+00
## row67 2.081826 2.0682835 -8.376e-01 7.171e+00 -1.041e+01 9.850e+00
## row68 -1.293415 0.7998007 -6.036e+00 2.404e+00 -5.616e+00 8.922e-01
## row69 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row70 -0.734974 5.2333544 -2.590e+00 -1.372e+00 2.667e+00 -4.235e+00
## row71 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row72 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row73 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row74 -0.729786 1.6536410 4.329e+00 -6.767e+00 -7.348e+00 1.382e+01
## row75 2.815419 1.0648961 7.612e-01 2.674e+00 1.506e+00 5.502e+00
## row76 2.053373 0.4058797 4.066e-01 4.426e-01 3.759e-01 -1.967e-01
## row77 2.059024 0.4521883 2.541e-01 1.411e+00 1.569e+00 2.228e+00
## row78 1.698775 0.5092343 7.857e-01 2.271e+00 3.880e-01 2.599e+00
## row79 1.735765 0.4729454 7.410e-01 1.952e+00 3.703e-01 2.110e+00
## row80 0.998195 0.1284436 -3.277e+00 1.235e+00 -4.783e+00 3.003e-01
## row81 2.123182 0.4784636 7.548e-01 9.050e-01 9.681e-01 2.718e+00
## row82 2.640949 0.6146211 -2.620e-01 -1.793e+00 -1.201e+00 1.386e+00
## row83 1.351382 -0.5069249 1.912e-01 -3.759e+00 -2.304e+00 -3.250e+00
## row84 2.281856 0.6616946 -1.170e+00 -2.260e+00 2.343e+00 -6.401e+00
## row85 -0.940345 -1.3685623 -5.537e-02 6.106e-01 2.397e+00 6.401e-01
## row86 0.668170 -0.4579716 -4.744e-01 -6.733e-01 1.431e+00 -1.474e+00
## row87 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row88 -0.366123 -1.1160077 -3.505e-01 -4.806e-01 2.381e-01 -3.165e-01
## row89 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row90 -0.244653 -0.6248803 3.820e-01 4.315e-01 7.359e-01 -6.755e-01
## row91 0.019022 -1.3371706 -4.166e+00 -3.733e+00 3.369e+00 4.169e+00
## row92 0.292820 -0.2174486 9.992e-01 1.507e+00 1.836e+00 -1.182e+00
## row93 -0.453974 -1.2147855 -1.301e+00 -1.293e+00 1.960e+00 5.402e-01
## row94 0.748471 -0.7870395 1.831e-01 -3.528e+00 -2.282e+00 -6.359e+00
## row95 -0.768675 1.0683520 -4.959e-02 2.107e+00 -4.465e+00 1.219e+00
## row96 0.026090 0.1396499 -7.820e-03 -2.115e+00 -1.955e+00 -4.576e+00
## row97 -0.922635 1.8191793 -9.780e-02 1.482e+00 -4.574e-01 -2.855e-02
## row98 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row99 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row100 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row101 -0.459642 -0.2511058 -8.916e-01 2.663e+00 -5.973e+00 4.291e+00
## row102 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row103 0.320389 3.6240818 -1.951e+00 4.900e+00 -1.329e+01 7.557e+00
## row104 -1.282271 1.3988960 -2.246e-02 7.691e-01 -9.222e-01 -1.198e+00
## row105 -2.782346 11.5662432 -5.537e+00 -3.033e+00 2.391e+00 -3.708e+00
## row106 -2.027838 6.4624348 -2.747e+00 -1.134e+00 9.115e-01 -2.507e+00
## row107 -1.128035 0.4266693 -2.978e+00 7.925e-01 -3.810e+00 4.452e+00
## row108 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row109 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row110 0.604452 0.8388909 -1.294e+00 -3.633e+00 -1.342e-01 -2.467e+00
## row111 -1.336023 1.9746895 1.203e-01 3.480e-01 3.085e+00 -2.559e+00
## row112 0.013478 -0.6683260 1.760e-01 -2.829e-01 -1.033e+00 -5.900e-01
## row113 -0.902374 -0.9678650 -3.718e+00 -8.090e-01 -1.393e+00 4.303e+00
## row114 -0.619560 -0.5599020 -3.706e+00 3.341e-01 -3.364e+00 3.768e+00
## row115 -0.607627 -1.2400755 -3.379e+00 -1.068e+00 -2.540e+00 3.325e+00
## row116 -0.892057 -0.2299380 -3.507e+00 1.145e+00 -4.201e+00 1.973e+00
## row117 -0.292399 -2.1147498 -4.841e+00 -3.176e+00 1.289e+00 4.141e+00
## row118 -0.208557 -0.3894484 -3.932e+00 1.014e+00 -3.376e+00 3.401e+00
## row119 -0.330782 -1.0663146 -1.712e+00 -1.248e+00 -1.927e+00 1.888e-01
## row120 1.631146 0.5251736 -3.122e-02 1.675e+00 -1.149e+00 1.560e+00
## row121 0.995978 -0.1448842 3.726e-01 5.812e-01 8.331e-01 2.276e-01
## row122 1.158954 -0.4032098 4.299e-02 -1.691e+00 -1.550e-01 -2.538e+00
## row123 1.265882 -0.1967685 2.690e-01 -1.650e+00 -9.161e-02 -3.288e+00
## row124 1.181251 -0.2634729 -1.164e-01 -1.001e+00 1.251e-01 -1.856e+00
## row125 1.160073 0.0214436 -1.290e+00 3.156e-01 -1.458e+00 -1.031e+00
## row126 1.764373 0.3017129 7.970e-01 8.609e-01 8.705e-01 1.736e+00
## row127 2.883371 0.3568217 2.175e-01 -2.909e+00 -1.427e+00 3.061e+00
## row128 0.928479 -0.5116043 5.435e-01 -2.424e+00 -1.475e+00 -1.780e+00
## row129 2.482252 1.4129468 -3.602e+00 6.927e-01 -3.116e+00 -5.501e+00
## row130 -1.012822 -1.4489596 -1.469e+00 3.699e-01 1.328e+00 2.652e+00
## row131 -0.405845 -0.6551936 1.057e+00 6.406e-01 1.085e+00 -2.634e+00
## row132 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row133 -0.381036 -0.8748223 5.999e-01 1.929e-01 2.673e-02 -8.154e-01
## row134 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row135 -0.429693 -0.1793167 8.527e-01 -3.015e-01 7.520e-01 -2.792e+00
## row136 0.240445 -0.5944866 -6.399e-01 4.034e-01 6.949e-01 4.874e-01
## row137 -0.694916 -1.5058894 -6.911e-01 -3.782e-01 2.394e+00 5.007e-01
## row138 0.343854 -0.7147327 -3.487e-01 -1.913e+00 -3.047e+00 -3.142e+00
## row139 -0.568266 0.5472482 7.222e-01 2.266e+00 -2.844e-01 5.410e-01
## row140 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row141 -1.150690 0.7385680 8.339e-01 7.907e-01 3.044e+00 -2.369e+00
## row142 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row143 0.299432 0.5252137 2.503e+00 -5.626e+00 -3.718e+00 5.600e+00
## row144 -0.450728 2.4103913 -6.047e-01 2.674e+00 -3.633e+00 2.521e+00
## row145 -1.195516 -1.3842420 -4.320e+00 2.055e-01 -2.292e+00 6.778e+00
## row146 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row147 -1.567867 1.7238449 -4.394e+00 -3.026e-01 -3.533e+00 4.396e+00
## row148 -2.213837 7.8345392 -3.252e+00 -1.756e+00 3.371e+00 -3.488e+00
## row149 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row150 -0.986476 -0.9663222 2.542e-01 1.207e+00 1.477e-01 3.203e-01
## row151 -2.275127 8.3255765 -1.144e+01 4.989e+00 -2.076e+01 -3.201e+00
## row152 1.902226 0.6031061 8.649e-01 2.385e+00 2.329e+00 2.408e+00
## row153 1.076769 0.1832905 9.231e-01 1.920e+00 2.099e+00 5.009e-01
## row154 1.699248 0.4128869 6.872e-01 1.515e+00 1.966e+00 5.553e-01
## row155 0.952483 0.3786657 3.423e-01 3.043e-03 6.795e-01 -1.313e+00
## row156 1.432208 0.5941506 -2.327e-02 -1.785e+00 9.105e-01 -3.102e+00
## row157 0.605955 -0.1270180 9.210e-01 1.330e+00 -2.206e-01 1.898e-01
## row158 2.495847 0.6055681 1.985e-01 -1.799e-01 1.429e+00 2.246e-01
## row159 1.977524 0.1735367 1.815e-01 -1.777e+00 2.754e-01 -5.174e-01
## row160 1.424942 0.5356907 -1.967e-01 -3.512e+00 -2.553e+00 -2.528e-01
## row161 3.052826 1.7040512 -2.119e+00 1.928e+00 -6.147e-01 -5.843e-01
## row162 -0.755559 -0.9151839 5.602e-01 6.851e-01 1.239e-02 -9.577e-01
## row163 -1.008241 -0.3523531 1.156e+00 1.321e+00 4.234e-01 -1.377e+00
## row164 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row165 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row166 -0.819457 -1.0497739 2.306e-01 1.206e+00 6.133e-01 7.849e-01
## row167 -0.735604 -0.8455103 1.341e+00 8.989e-01 4.506e-01 -1.999e+00
## row168 0.214910 -0.0271728 1.558e+00 3.750e+00 2.533e+00 2.030e+00
## row169 -0.663303 -1.2450807 2.716e-02 1.375e-01 1.806e+00 2.059e-01
## row170 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row171 1.792412 0.0699764 -1.121e+00 -3.097e+00 -9.831e+00 -3.600e+00
## row172 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row173 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row174 -0.971928 1.0655931 5.080e-01 1.291e+00 1.061e+00 -1.169e+00
## row175 0.670706 1.1003558 2.960e+00 -1.005e+01 -6.632e+00 6.626e+00
## row176 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row177 -1.532989 1.6422928 -3.948e+00 -1.856e-01 -3.248e+00 3.863e+00
## row178 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row179 2.024245 0.2088337 -8.095e-02 1.475e-01 1.810e+00 1.743e+00
## row180 1.726178 0.2995340 6.264e-01 6.448e-01 1.224e+00 4.854e-01
## row181 2.010172 0.6563571 3.954e-01 1.693e+00 1.393e+00 7.204e-01
## row182 1.345699 -0.3070812 -2.422e-01 -1.741e+00 5.797e-01 -2.341e+00
## row183 0.860959 0.1084400 7.111e-01 1.520e+00 2.608e+00 -1.278e+00
## row184 0.679306 -0.2387386 8.259e-01 2.655e-01 7.081e-01 -1.177e+00
## row185 0.966387 -0.0122781 1.070e+00 1.188e+00 9.555e-01 1.575e+00
## row186 2.573882 0.7947939 3.517e-01 5.042e-01 -2.317e+00 6.119e+00
## row187 0.890097 -0.2935173 3.064e-01 -1.645e+00 4.518e-01 -3.235e+00
## row188 2.984236 1.3783871 -1.207e+00 1.942e-01 3.290e+00 -3.712e+00
## row189 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row190 -1.145684 0.3221682 6.832e-02 7.370e-01 2.093e+00 -8.958e-01
## row191 -0.040226 -0.6080535 -1.308e+00 4.782e-01 -2.290e+00 1.645e+00
## row192 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row193 -0.263415 -0.9746137 -3.476e-01 -1.402e-01 -8.971e-01 -1.240e-01
## row194 -0.491773 -0.4115754 1.657e-01 6.147e-01 1.152e+00 -2.845e-01
## row195 -0.632190 -0.9048940 -1.530e+00 5.435e-01 -1.873e+00 3.460e+00
## row196 -0.936893 -1.1986437 4.550e-01 8.967e-01 1.874e+00 -4.176e-02
## row197 -1.004952 -1.5566455 -1.626e+00 2.036e-01 1.847e+00 2.844e+00
## row198 -0.547156 -0.8723093 -1.830e+00 6.460e-01 -1.700e+00 2.071e+00
## row199 -0.937236 -1.2155039 4.044e-01 8.683e-01 1.926e+00 2.591e-02
## row200 1.415530 3.4448240 -1.666e-01 6.281e+00 7.506e-01 7.621e+00
## row201 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row202 -1.218176 0.9892802 2.531e-01 8.981e-01 -6.074e-01 -1.240e+00
## row203 0.144501 1.9106566 8.009e-01 -4.911e+00 -5.452e+00 3.868e+00
## row204 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row205 -1.320691 1.9640091 3.267e-01 2.612e-01 4.765e+00 -3.093e+00
## row206 -0.953581 -2.0201106 -2.012e+00 -4.865e-01 4.407e+00 3.255e+00
## row207 -0.640400 -1.6018520 -1.030e+00 -7.121e-01 2.592e+00 7.288e-01
## row208 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row209 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row210 -0.637765 -1.1484814 2.606e-01 3.626e-01 1.692e+00 4.598e-01
## row211 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row212 -0.962984 -2.4829913 -3.403e+00 -1.266e+00 5.834e+00 5.112e+00
## row213 1.342261 -0.6549018 -7.726e-02 -4.634e+00 -2.914e+00 -6.033e+00
## row214 -1.265594 1.2923154 4.925e-02 8.027e-01 -8.403e-01 -1.209e+00
## row215 -0.875215 -0.8125095 1.160e-01 1.523e+00 -1.044e+00 9.932e-01
## row216 -1.489015 3.6406996 -3.377e+00 -1.906e-01 -1.217e-01 1.644e+00
## row217 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row218 -1.764211 5.1610903 -9.965e-01 -1.120e+00 9.256e+00 -4.983e+00
## row219 1.092823 0.4475592 1.387e+00 -5.905e+00 -4.981e+00 1.344e+00
## row220 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row221 -1.168472 0.4039892 -6.743e+00 5.700e+00 -1.285e+01 -7.489e-01
## row222 0.707315 9.2279865 -1.698e+00 3.459e+00 1.633e+01 2.125e+00
## row223 0.247651 -0.5775054 4.364e-01 -1.038e+00 -2.941e+00 -3.250e+00
## row224 -1.280394 1.6735303 4.469e-01 3.867e-01 4.357e+00 -2.922e+00
## row225 0.568730 0.5405454 7.936e-01 4.850e+00 -2.948e+00 4.808e+00
## row226 0.806117 0.6817606 8.827e-01 5.282e+00 -2.012e+00 5.361e+00
## row227 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row228 1.359615 1.5091770 3.771e-01 -5.749e+00 -4.560e+00 1.484e+00
## row229 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row230 0.998676 0.3061438 -4.572e-01 -3.242e+00 -4.149e+00 -3.414e+00
## row231 2.057870 0.3584662 2.302e-01 -3.552e-01 1.120e+00 -1.327e+00
## row232 1.605672 0.4355875 7.676e-01 1.946e+00 2.304e+00 8.880e-01
## row233 2.279968 0.9140675 -2.610e-01 1.133e+00 2.594e+00 -1.630e+00
## row234 1.213608 0.0152495 8.874e-01 6.018e-01 6.000e-01 8.117e-01
## row235 0.666834 0.0988463 1.338e+00 3.190e+00 2.232e+00 1.647e+00
## row236 0.359486 -0.1535158 9.686e-01 1.607e+00 6.806e-01 2.789e-02
## row237 1.906794 0.5760674 2.298e-01 8.236e-01 4.573e-01 1.097e+00
## row238 2.407916 0.2883140 5.197e-01 -1.839e+00 -7.880e-01 3.899e+00
## row239 1.910692 -0.2869474 -1.480e+00 -1.789e+00 2.765e+00 9.192e-01
## row240 2.181440 1.0032152 -2.286e+00 1.550e-01 -1.564e+00 -4.281e+00
## row241 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row242 0.626072 -0.0825701 9.625e-01 -2.744e+00 -3.664e+00 6.474e-01
## row243 -0.202642 5.3754999 -2.438e+00 3.342e+00 -7.781e+00 4.781e+00
## row244 -1.491612 0.1964222 -1.013e+01 2.302e+00 -1.116e+01 7.837e+00
## row245 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row246 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row247 0.947729 -0.6263493 3.129e-01 -3.188e+00 -2.000e+00 -4.035e+00
## row248 -1.352630 1.1993568 -3.947e+00 1.622e+00 -2.134e+00 5.458e-01
## row249 -1.154166 0.4551608 -3.001e+00 3.340e+00 -6.422e+00 -1.048e+00
## row250 -0.731586 -0.4215764 -3.466e+00 -2.400e+00 2.342e+00 2.061e+00
## row251 -0.850844 0.6454720 2.495e-01 8.075e-02 -9.075e-01 -2.192e+00
## row252 -0.749554 -0.6195851 -3.153e+00 -6.043e-01 -2.365e+00 3.948e+00
## row253 -0.780150 -0.7451337 1.501e+00 1.775e+00 1.034e+00 -9.759e-01
## row254 -1.198865 0.9919651 5.391e-01 7.671e-01 1.806e+00 -2.010e+00
## row255 1.128282 -0.3505313 1.363e-02 -2.557e+00 -4.173e+00 -2.633e+00
## row256 -0.069592 -0.2446091 7.595e-01 1.612e+00 -3.462e+00 1.511e+00
## row257 -1.350955 1.7561533 -9.021e+00 6.752e+00 -1.707e+01 -1.425e+00
## row258 -0.107644 2.6178404 -1.091e+00 -1.636e+00 -2.772e+00 5.898e-01
## row259 1.269608 0.0442193 7.437e-01 -5.247e+00 -4.627e+00 -2.427e-01
## row260 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row261 1.380770 2.7136970 4.852e+00 -1.403e+01 -9.106e+00 2.006e+01
## row262 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row263 0.797287 -0.5416121 5.995e-01 -2.185e+00 -1.339e+00 -1.867e+00
## row264 3.632254 1.9275925 9.831e-01 6.102e+00 3.205e+00 9.885e+00
## row265 2.810872 1.4078093 4.192e-01 3.703e+00 2.502e+00 5.315e+00
## row266 2.855805 1.3355058 7.583e-02 2.659e+00 1.698e+00 3.614e+00
## row267 1.309717 0.4500120 7.315e-01 2.441e+00 1.141e+00 1.924e+00
## row268 0.725648 0.0110785 1.259e+00 2.217e+00 1.601e+00 1.938e+00
## row269 0.581152 0.1132749 1.465e+00 3.505e+00 2.437e+00 2.671e+00
## row270 2.867634 0.5506225 -1.656e+00 1.322e+00 6.270e+00 6.452e+00
## row271 2.680346 -0.3418426 -2.086e+00 -4.960e+00 1.354e+00 3.607e+00
## row272 0.277555 -0.4951387 5.858e-01 -6.154e-01 -2.556e+00 -1.691e+00
## row273 2.733828 1.1991482 -1.892e+00 4.886e-02 -8.103e-01 -3.169e+00
## row274 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row275 -0.646609 -0.4641173 1.045e+00 2.276e+00 -2.320e+00 4.380e-01
## row276 -0.974149 -0.9416773 5.240e-01 1.266e+00 2.916e-01 -6.047e-02
## row277 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row278 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row279 -0.585170 -1.4697416 -6.805e-01 -6.500e-01 2.095e+00 5.241e-02
## row280 0.080552 -0.8331963 -1.211e+00 1.261e+00 3.213e+00 3.094e+00
## row281 -0.490933 -0.8358706 1.150e+00 1.690e-01 1.069e-04 -2.718e+00
## row282 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row283 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row284 -1.114894 0.3292379 6.972e-01 1.106e+00 -1.003e-01 -1.307e+00
## row285 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row286 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row287 -1.192845 0.8273969 3.620e-01 9.491e-01 -4.831e-01 -1.256e+00
## row288 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row289 -1.297905 1.7997539 3.947e-01 3.322e-01 4.535e+00 -2.996e+00
## row290 0.680456 8.0677166 -1.985e+00 3.998e+00 8.572e+00 4.313e+00
## row291 0.614679 0.5699506 -2.325e-01 -3.728e+00 -2.348e-01 -5.745e+00
## row292 -1.505673 3.2974405 -2.252e-01 -3.149e-01 6.638e+00 -3.882e+00
## row293 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row294 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row295 -1.678082 4.5402358 -7.396e-01 -8.518e-01 8.384e+00 -4.616e+00
## row296 -0.816895 0.4935662 4.118e-01 1.919e+00 -2.888e+00 4.274e-01
## row297 -1.552278 2.1659050 -3.192e+00 -9.181e-02 -3.020e+00 2.433e+00
## row298 -1.765346 4.4860849 -2.099e+00 -2.032e-01 -3.294e+00 -8.824e-01
## row299 1.829625 1.1378861 1.651e+00 6.954e+00 4.965e+00 6.907e+00
## row300 1.791177 0.4716313 4.839e-01 1.073e+00 2.382e+00 7.042e-02
## row301 -1.859627 5.8488942 -1.281e+00 -1.417e+00 1.022e+01 -5.390e+00
## row302 3.020598 1.1806527 3.877e-01 1.967e+00 3.324e+00 3.485e+00
## row303 4.145736 2.4003881 3.434e-01 6.220e+00 4.763e+00 8.559e+00
## row304 3.091486 1.7770741 3.585e-01 5.361e+00 4.143e+00 4.748e+00
## row305 1.605332 0.3882361 5.552e-01 1.165e+00 2.316e+00 -7.497e-02
## row306 2.801664 0.9875490 -1.791e-01 1.941e-01 3.584e+00 -2.843e-01
## row307 2.154339 1.2045224 7.177e-01 4.755e+00 -1.112e+00 7.658e+00
## row308 2.632274 0.5265987 2.838e-02 -1.964e+00 8.017e-01 1.590e+00
## row309 0.583942 0.2390936 1.579e+00 4.482e+00 3.089e+00 3.145e+00
## row310 2.289642 0.9949017 -1.326e+00 6.994e-01 -1.463e-01 -1.833e+00
## row311 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row312 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row313 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row314 0.202696 -0.0359851 1.557e+00 3.726e+00 2.514e+00 1.993e+00
## row315 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row316 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row317 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row318 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row319 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row320 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row321 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row322 -1.318521 2.5740127 -2.301e-01 -2.017e-01 3.527e+00 -3.144e+00
## row323 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row324 -0.104131 -0.0718999 1.074e+00 3.353e+00 -1.518e+00 2.081e+00
## row325 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row326 0.062792 4.6459960 -6.511e-01 3.032e+00 5.594e+00 2.111e+00
## row327 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row328 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row329 -0.894616 0.1827801 8.165e-01 5.294e-01 1.023e+00 -2.297e+00
## row330 3.751076 1.7902493 4.767e-01 3.987e+00 4.900e+00 5.889e+00
## row331 3.272065 2.1178245 2.024e-01 6.396e+00 4.666e+00 5.755e+00
## row332 3.094780 2.7723086 4.015e-01 7.199e+00 4.139e+00 8.126e+00
## row333 1.744457 -0.0281085 -1.171e+00 1.114e+00 9.826e-01 5.757e+00
## row334 1.587725 0.6233178 1.107e+00 3.364e+00 3.145e+00 3.663e+00
## row335 3.736419 1.8160314 -5.668e-01 2.323e+00 2.437e+00 2.298e+00
## row336 2.686458 0.7232429 -1.217e-01 -5.461e-01 2.071e+00 -1.189e+00
## row337 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row338 2.619891 1.3489324 -1.755e+00 1.512e+00 -1.899e+00 -2.847e-01
## row339 -0.575623 -0.8392073 1.216e+00 4.217e-01 1.560e-01 -2.469e+00
## row340 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row341 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row342 -2.748073 12.2553840 -8.994e+00 2.023e-01 3.174e+00 -8.659e+00
## row343 -1.320399 1.6425587 -1.864e-01 6.924e-01 -1.109e+00 -1.173e+00
## row344 -0.807847 -0.6855665 1.300e+00 1.822e+00 -5.392e-01 -6.243e-01
## row345 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row346 -2.781600 11.2818466 -4.446e+00 -5.352e+00 -1.199e+00 2.125e+00
## row347 -2.766014 8.7401799 3.903e+00 -1.525e+01 -1.370e+01 2.386e+01
## row348 -2.410107 9.8169915 -2.924e+00 -3.132e+00 1.580e+01 -7.735e+00
## row349 -1.097592 0.2186634 7.716e-01 1.141e+00 -1.532e-02 -1.319e+00
## row350 -0.587560 0.0737716 9.134e-01 2.284e+00 -8.962e-01 4.573e-01
## row351 -1.509993 3.2342693 -3.899e-01 -2.013e-01 4.948e+00 -3.333e+00
## row352 -2.993595 13.5921625 -5.358e+00 -4.368e+00 1.378e+01 -7.632e+00
## row353 -2.868893 11.1813341 -1.161e+00 -9.189e+00 1.333e-01 7.094e+00
## row354 -1.056839 -4.8469205 -1.126e+01 -5.314e+00 1.227e+01 1.569e+01
## row355 -0.953635 -2.0228042 -2.020e+00 -4.911e-01 4.415e+00 3.266e+00
## row356 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row357 -1.032195 -1.9080631 -3.014e+00 -4.180e-01 2.557e+00 4.733e+00
## row358 -1.024998 -3.3851251 -6.835e+00 -2.850e+00 7.803e+00 9.774e+00
## row359 -0.279729 -0.6440933 8.754e-01 3.362e-01 -1.654e+00 -2.028e+00
## row360 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row361 -1.546863 4.9720162 -2.428e+01 2.036e+01 -5.064e+01 -9.605e+00
## row362 1.757197 -0.0455041 -8.233e-01 -1.351e+00 -6.070e-01 -2.524e-01
## row363 2.021551 -0.4963108 -1.804e+00 -2.929e+00 2.118e+00 2.415e+00
## row364 1.935374 0.2800074 -5.565e-01 -5.055e-04 1.274e+00 1.527e+00
## row365 2.899015 0.6836574 9.818e-02 -7.713e-01 -1.771e+00 2.650e+00
## row366 1.990524 -0.3215662 -1.249e+00 -3.553e+00 8.547e-01 -2.218e+00
## row367 2.016593 -0.2380856 -1.748e+00 -1.820e+00 -2.001e+00 4.622e+00
## row368 1.745544 -2.2051504 -6.820e+00 -6.648e+00 7.179e+00 6.080e+00
## row369 2.113450 -0.2820745 -3.980e-02 -4.841e+00 -2.881e+00 -1.781e+00
## row370 0.050007 -1.5995382 -1.644e+00 -2.815e+00 1.397e+00 -1.201e+00
## row371 0.722238 0.1359515 4.518e-01 1.232e+00 3.644e+00 -2.607e+00
## row372 -0.194621 0.2731203 7.378e-01 8.470e-01 2.350e-01 -8.820e-01
## row373 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row374 -2.777592 8.6641240 4.576e+00 -1.619e+01 -1.415e+01 2.556e+01
## row375 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row376 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row377 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row378 0.192724 6.1399926 5.764e+00 -7.727e+00 -6.163e+00 2.719e+01
## row379 -1.477559 3.0947795 -1.413e-01 -2.273e-01 6.354e+00 -3.762e+00
## row380 1.503807 0.0213086 -1.014e+00 -3.185e-01 -2.188e+00 -3.093e-01
## row381 1.935964 -0.2131961 -1.159e+00 -1.953e+00 2.317e+00 2.091e+00
## row382 2.217702 0.3537065 -8.143e-01 -3.092e-01 1.106e+00 1.616e+00
## row383 2.281061 -0.0515182 -1.663e+00 -2.070e+00 -5.850e-02 1.286e+00
## row384 0.645318 -0.8432880 -6.508e-01 -2.227e+00 -1.435e+00 -5.580e-01
## row385 1.444753 -0.5389161 -1.128e+00 -5.181e-01 2.867e+00 5.944e+00
## row386 1.781601 -1.4349930 -4.247e+00 -5.625e+00 3.882e+00 2.388e+00
## row387 1.626685 -0.0613476 -5.215e+00 7.318e-01 -2.939e+00 4.853e+00
## row388 0.762399 -0.7564117 -5.989e-01 -3.202e+00 -2.406e+00 -2.986e+00
## row389 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row390 -0.345904 -1.0330748 -2.751e-01 -3.073e-01 -1.108e-01 -9.396e-02
## row391 -1.039702 -2.1494633 -7.189e+00 -1.404e+00 -6.799e-01 1.046e+01
## row392 -0.716271 -2.9632892 -5.729e+00 -2.725e+00 6.672e+00 8.513e+00
## row393 -0.135561 -2.3881694 -6.474e+00 -2.689e+00 3.419e+00 8.425e+00
## row394 -0.072550 -0.5935616 9.043e-01 1.817e-01 -1.080e+00 -1.845e+00
## row395 0.290623 -0.9391212 -1.010e+00 -2.694e+00 -2.363e+00 -3.102e+00
## row396 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row397 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row398 -1.141279 0.6707262 8.620e-01 8.200e-01 2.949e+00 -2.329e+00
## row399 -3.020015 13.8455361 -5.335e+00 -4.535e+00 1.521e+01 -8.123e+00
## row400 -1.174100 3.2501003 3.025e+00 -7.017e+00 -6.151e+00 1.719e+01
## row401 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row402 -2.165562 8.0542020 -2.194e+00 -2.370e+00 1.332e+01 -6.693e+00
## row403 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row404 0.106012 -0.0765684 4.262e-01 1.481e+00 -4.700e-01 -1.376e+00
## row405 -2.880388 11.5774298 -2.164e+00 -7.942e+00 2.382e+00 3.960e+00
## row406 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row407 -0.267486 -0.6813882 1.776e-02 3.832e-01 -1.978e+00 -1.485e+00
## row408 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row409 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row410 1.756758 0.2956210 3.506e-01 7.120e-03 -2.545e-01 3.117e-01
## row411 1.308723 0.1310199 3.366e-01 1.427e-01 -8.244e-01 -6.567e-01
## row412 1.040357 0.0924798 6.663e-01 9.425e-01 -6.846e-02 6.038e-01
## row413 0.707086 0.5566230 5.152e-01 3.302e-01 -4.933e-02 7.455e-01
## row414 0.681293 -0.4815075 -1.440e-01 -1.836e+00 -3.029e-01 -2.902e+00
## row415 0.554370 -0.8267075 -4.185e-01 -2.991e+00 -2.250e+00 -4.017e+00
## row416 1.060300 -1.2320307 -3.240e+00 -3.929e+00 4.229e+00 -2.160e+00
## row417 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row418 0.264910 -1.1809145 -7.184e-01 -2.187e+00 6.737e-01 -5.464e-01
## row419 -0.166740 -0.3566952 1.233e+00 2.052e+00 2.050e+00 -7.693e-01
## row420 -0.951516 -1.9184545 -1.707e+00 -3.154e-01 4.093e+00 2.847e+00
## row421 -0.975522 -1.3237762 -5.180e-01 6.324e-01 1.589e+00 1.321e+00
## row422 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row423 0.351855 -0.8108478 -1.342e+00 -1.992e+00 -2.084e+00 8.981e-01
## row424 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row425 -0.613631 -0.2884545 1.020e+00 6.202e-01 3.924e-01 -1.789e+00
## row426 -1.092546 0.6826685 -5.303e+00 6.457e+00 -1.276e+01 -3.584e+00
## row427 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row428 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row429 -0.661277 -0.4842633 1.068e+00 2.234e+00 -2.158e+00 3.413e-01
## row430 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row431 -2.121986 5.9983652 3.351e+00 -9.402e+00 1.094e+00 1.067e+01
## row432 -0.701264 2.0266362 3.037e+00 -6.504e+00 -5.382e+00 2.012e+01
## row433 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row434 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row435 -0.850589 -0.7596330 7.914e-01 1.653e+00 -6.248e-01 1.427e-02
## row436 -0.558621 -0.8428084 2.454e-01 5.552e-01 -1.531e-01 6.610e-01
## row437 -0.450475 -1.5522988 -4.605e+00 -2.573e+00 1.967e+00 4.620e+00
## row438 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row439 -0.971008 -0.9353976 5.927e-01 1.281e+00 3.282e-01 -1.575e-01
## row440 -0.309748 -0.3617953 7.288e-01 1.658e+00 -3.554e+00 8.420e-02
## row441 -0.547744 -1.6588597 -1.826e+00 -1.235e+00 1.978e+00 1.348e+00
## row442 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row443 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row444 -0.715346 -0.7970075 1.414e+00 1.130e+00 6.157e-01 -1.150e+00
## row445 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row446 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row447 -1.711253 4.8185423 8.996e-02 -1.203e+01 -4.425e+00 2.043e+01
## row448 -0.656763 -0.8424041 1.280e+00 6.637e-01 3.054e-01 -2.231e+00
## row449 -1.192016 -1.1448730 -7.873e+00 1.996e+00 -5.764e+00 5.532e+00
## row450 1.927153 0.1961325 5.322e-01 -4.396e-01 2.151e-02 2.746e-01
## row451 2.260509 0.6563166 8.894e-02 5.679e-01 -6.259e-01 8.808e-01
## row452 2.552305 0.8731194 -3.910e-01 1.343e-01 2.293e-01 -6.951e-01
## row453 3.081804 0.8044051 -9.318e-02 -8.035e-01 -2.791e+00 2.992e+00
## row454 0.197874 -0.6154894 8.500e-01 -4.785e-01 -3.198e-01 -3.053e+00
## row455 0.476900 -0.6823494 6.104e-01 -2.012e+00 -1.292e+00 -3.365e+00
## row456 1.546512 0.4334227 -3.619e+00 4.300e-01 -6.665e+00 -2.215e+00
## row457 1.525495 -0.1483503 -1.716e+00 -2.443e+00 -5.651e+00 3.769e+00
## row458 0.611638 -1.1961350 -1.139e+00 -3.036e+00 5.176e-01 -2.076e-01
## row459 -0.596608 -0.7272610 1.215e+00 9.456e-01 9.841e-01 -2.195e+00
## row460 -1.195516 -1.3842420 -4.320e+00 2.055e-01 -2.292e+00 6.778e+00
## row461 0.599775 -0.4073419 4.949e-01 -7.230e-01 -1.909e+00 -2.796e+00
## row462 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row463 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row464 -0.108920 3.0982037 4.077e+00 -1.152e+01 -8.616e+00 2.448e+01
## row465 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row466 -1.111302 -2.2255824 -5.170e+00 -1.061e+00 2.186e+00 7.740e+00
## row467 -0.689737 -1.1755997 -1.338e+00 -9.802e-02 -2.621e-01 1.835e+00
## row468 -0.959510 -2.3119706 -2.889e+00 -9.780e-01 5.307e+00 4.426e+00
## row469 -0.958278 -1.3706327 -3.576e-01 5.805e-01 2.071e+00 1.075e+00
## row470 -1.015409 -1.7350043 -2.275e+00 -1.069e-01 2.270e+00 3.723e+00
## row471 -0.935271 -1.1187976 6.948e-01 1.031e+00 1.627e+00 -3.622e-01
## row472 -1.119422 -3.9111698 -9.801e+00 -3.860e+00 7.869e+00 1.388e+01
## row473 -0.342661 -2.4261073 -3.949e+00 -2.455e+00 5.602e+00 6.344e+00
## row474 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row475 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row476 -1.278885 1.6626526 4.514e-01 3.914e-01 4.342e+00 -2.915e+00
## row477 -2.235062 8.0997354 -3.134e+00 -1.973e+00 5.649e+00 -4.252e+00
## row478 1.081986 0.3054279 8.235e-01 -6.744e+00 -4.648e+00 4.273e+00
## row479 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row480 0.369920 -0.8635098 -5.443e-01 -1.212e+00 -6.758e-01 -1.264e+00
## row481 -0.411447 -1.0376151 -1.281e+00 -8.808e-01 -1.559e+00 -2.889e-02
## row482 4.016162 1.5820865 7.342e-01 2.399e+00 2.332e+00 9.257e+00
## row483 4.160895 1.7677603 3.095e-01 2.290e+00 3.728e+00 7.107e+00
## row484 2.424510 0.8626013 -1.353e-01 8.446e-01 6.585e-01 1.042e-01
## row485 2.673741 0.5638964 5.023e-01 -4.535e-01 1.646e-01 3.249e+00
## row486 0.109159 -0.7113671 8.702e-01 -1.004e+00 -6.768e-01 -2.561e+00
## row487 0.918467 -0.5868478 1.314e-01 -3.133e+00 -1.391e+00 -5.554e+00
## row488 0.971723 -1.6748530 -2.990e+00 -4.664e+00 1.869e+00 2.298e+00
## row489 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row490 -0.406133 -0.5154917 1.298e+00 1.819e+00 1.666e+00 -1.069e+00
## row491 0.882484 1.0294175 2.337e+00 -6.709e+00 -6.424e+00 8.096e+00
## row492 -0.570520 -0.3596134 9.248e-01 2.490e+00 -3.160e+00 9.392e-01
## row493 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row494 0.296986 3.9110012 7.350e+00 -1.814e+01 -1.205e+01 2.791e+01
## row495 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row496 0.424721 2.7518320 1.912e+00 -3.308e+00 -4.883e+00 1.083e+01
## row497 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row498 0.935258 0.8493835 1.579e+00 -6.770e+00 -4.706e+00 7.145e+00
## row499 4.158018 1.9650595 1.000e+00 4.882e+00 4.013e+00 1.074e+01
## row500 1.562242 0.7672156 6.341e-01 3.370e+00 1.458e+00 3.116e+00
## row501 1.840336 0.0766359 -1.523e+00 1.307e+00 3.071e+00 5.183e+00
## row502 1.544325 0.3720817 5.272e-01 1.274e+00 -1.715e+00 2.399e+00
## row503 0.559670 -0.4168906 5.921e-01 -9.738e-01 -2.334e+00 -7.539e-01
## row504 0.223874 -1.8320139 -2.639e+00 -3.237e+00 2.665e+00 1.940e+00
## row505 0.596419 -3.5832618 -8.130e+00 -7.946e+00 6.504e+00 5.128e+00
## row506 0.381542 -0.8014961 4.694e-01 -2.434e+00 -1.606e+00 -5.281e+00
## row507 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row508 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row509 -2.830288 12.0260151 -5.497e+00 -3.336e+00 4.976e+00 -4.599e+00
## row510 0.399113 1.1280153 8.579e-01 -2.461e+00 -3.538e+00 2.532e+00
## row511 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row512 -0.638919 -0.7556186 1.252e+00 9.626e-01 8.752e-01 -2.121e+00
## row513 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row514 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row515 1.190279 2.0108993 1.092e+00 -5.793e+00 -4.326e+00 4.610e+00
## row516 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row517 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row518 1.805889 0.3763401 -5.845e-01 -5.106e+00 -3.526e+00 -2.977e+00
## row519 1.951019 0.0067527 2.609e-01 -1.862e+00 -9.367e-01 -1.764e+00
## row520 -1.055166 -1.1036508 -1.249e+00 8.780e-01 -6.539e-01 2.442e+00
## row521 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row522 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row523 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row524 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row525 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row526 -1.726453 4.6109452 -1.331e+00 -6.280e-01 3.763e+00 -3.152e+00
## row527 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row528 -0.851197 -0.6926285 -4.760e-01 2.187e+00 -1.846e+00 -1.060e-01
## row529 -0.993001 -0.9793681 1.115e-01 1.176e+00 7.155e-02 5.219e-01
## row530 2.180128 1.3907827 1.671e+00 7.649e+00 5.493e+00 7.966e+00
## row531 0.395355 1.3224486 -1.219e+00 -4.124e+00 -3.861e+00 -6.076e+00
## row532 1.205394 -0.0223535 -1.267e+00 -8.250e+00 -6.269e+00 3.129e+00
## row533 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row534 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row535 1.841699 -0.1289075 -3.577e-01 -3.022e+00 -4.137e+00 -4.584e+00
## row536 -0.950441 -1.8655446 -1.548e+00 -2.263e-01 3.930e+00 2.635e+00
## row537 -0.154304 -0.8226078 8.875e-01 -8.351e-01 -6.197e-01 -3.707e+00
## row538 -1.096887 -3.4386748 -8.168e+00 -3.045e+00 6.652e+00 1.168e+01
## row539 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row540 0.112737 -1.2568349 -2.414e+00 -1.117e+00 5.779e+00 4.839e-01
## row541 0.292577 0.2277008 1.063e+00 4.157e+00 -1.178e+00 3.352e+00
## row542 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row543 0.854216 -0.7828733 1.006e-01 -3.844e+00 -2.476e+00 -6.669e+00
## row544 -0.315361 -0.8289533 1.013e+00 -3.547e-01 -3.231e-01 -3.233e+00
## row545 -0.790769 -1.3182066 -4.132e+00 1.572e+00 -4.932e-01 3.403e+00
## row546 -1.511917 2.8664928 -1.010e+00 3.069e-01 -2.050e+00 -1.048e+00
## row547 0.453969 -0.4909183 9.873e-01 -7.678e-01 -4.340e-01 3.636e-01
## row548 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row549 -1.131051 2.6083686 -2.441e+00 1.144e+00 -2.113e+00 -4.049e+00
## row550 -1.174959 -1.3431452 -3.870e+00 3.040e-01 -2.052e+00 6.143e+00
## row551 3.439103 1.6792623 7.949e-01 4.513e+00 4.709e+00 7.287e+00
## row552 1.866163 0.5613129 1.942e-01 9.084e-01 -1.044e+00 1.559e+00
## row553 0.898387 -0.2924668 3.619e-01 -1.119e+00 3.012e-01 -4.040e+00
## row554 0.026711 -0.5528189 5.888e-01 -2.337e-01 -2.765e+00 -2.363e+00
## row555 0.434804 -0.3382624 4.802e-01 -3.526e-01 -3.399e+00 -5.585e-01
## row556 0.724779 -0.6597924 4.408e-01 -2.674e+00 -1.694e+00 -3.849e+00
## row557 3.058896 1.2659585 -1.181e-01 1.113e+00 4.543e+00 1.266e+00
## row558 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row559 -1.134796 8.4969088 -3.306e+00 5.646e-01 2.042e+00 -1.666e-01
## row560 0.666122 -0.7902840 2.473e-01 -3.282e+00 -2.130e+00 -6.117e+00
## row561 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row562 -0.395395 9.4271024 -3.029e+00 1.677e+00 8.420e+00 1.305e+00
## row563 0.719897 1.0647000 1.213e+00 -1.152e+01 -8.297e+00 9.344e+00
## row564 0.064838 0.2305363 -8.444e-01 3.550e+00 -4.695e+00 2.549e-02
## row565 -0.711531 1.3535892 -3.328e+00 -2.000e+00 -3.776e+00 4.302e-01
## row566 1.309232 -0.2670379 6.749e-01 -2.156e+00 -1.202e+00 1.471e+00
## row567 1.311836 -1.0251494 -3.266e+00 -6.241e+00 -5.114e+00 -4.301e+00
## row568 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row569 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row570 -1.134796 8.4969088 -3.306e+00 5.646e-01 2.042e+00 -1.666e-01
## row571 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row572 -0.861784 -0.7596464 1.385e+00 1.670e+00 5.637e-02 -9.796e-01
## row573 -0.859089 -0.7559438 1.381e+00 1.678e+00 2.660e-02 -9.618e-01
## row574 -1.171478 0.6908459 4.539e-01 9.921e-01 -3.781e-01 -1.270e+00
## row575 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row576 -1.100816 0.2392691 7.577e-01 1.134e+00 -3.115e-02 -1.317e+00
## row577 -1.406047 2.3687682 -2.668e-01 2.790e-01 1.759e+00 -2.192e+00
## row578 -1.272142 1.5069943 2.993e-01 5.567e-01 2.305e+00 -2.243e+00
## row579 1.685210 4.2560537 5.344e+00 -1.747e+00 -4.586e+00 2.574e+01
## row580 1.298123 0.1452042 7.744e-01 1.025e+00 -7.026e-02 1.142e+00
## row581 1.375411 0.4978499 8.735e-01 2.840e+00 1.344e+00 2.719e+00
## row582 1.482218 0.3775900 1.949e-01 2.275e+00 2.352e+00 2.666e+00
## row583 1.583625 0.2977255 4.730e-01 5.297e-01 7.801e-01 3.109e-01
## row584 0.968954 -0.3210814 3.741e-01 -1.881e+00 -7.803e-02 -2.468e+00
## row585 0.964605 -0.6099059 -1.369e+00 -1.519e+00 6.520e-01 2.534e+00
## row586 2.100743 -0.2358533 5.733e-02 -4.517e+00 -2.659e+00 -8.543e-01
## row587 -0.146808 -1.8759919 -2.510e+00 -1.912e+00 3.889e+00 4.572e+00
## row588 0.338012 -0.3741757 4.374e-01 -5.486e-01 1.477e+00 -4.346e+00
## row589 -0.975702 1.7739913 4.017e+00 -4.998e+00 -9.328e+00 1.427e+01
## row590 -1.065164 -0.2947613 2.385e+00 -6.583e-01 -6.421e-01 2.106e+00
## row591 -1.462678 2.8595354 -4.578e+00 3.696e+00 -9.725e+00 -2.483e+00
## row592 -0.693660 4.0841865 5.324e+00 -8.741e+00 -2.005e+01 2.756e+01
## row593 0.645580 5.4155400 8.622e+00 -1.001e+01 -6.571e+00 3.417e+01
## row594 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row595 -0.644363 -0.4610327 1.041e+00 2.282e+00 -2.344e+00 4.528e-01
## row596 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row597 -1.095623 -1.1845323 -2.134e+00 6.842e-01 -1.126e+00 3.692e+00
## row598 -0.951046 -1.8953436 -1.638e+00 -2.764e-01 4.022e+00 2.754e+00
## row599 -1.192516 0.2308856 3.225e+00 -2.670e+00 -2.007e+00 5.432e+00
## row600 -1.303280 -1.6294561 -8.276e+00 -3.872e+00 7.885e+00 1.001e+01
## row601 -1.050020 -3.9246181 -8.688e+00 -3.779e+00 9.206e+00 1.227e+01
## row602 -1.110799 -1.2148733 -2.466e+00 6.115e-01 -1.303e+00 4.161e+00
## row603 -0.087128 -0.8199611 8.351e-01 -1.035e+00 -7.433e-01 -3.904e+00
## row604 0.415858 -0.1000035 1.248e+00 2.207e+00 8.318e-01 1.880e+00
## row605 1.248478 0.3492281 1.034e+00 2.529e+00 6.224e-01 3.469e+00
## row606 1.255198 0.2883368 5.266e-01 1.384e+00 1.125e+00 -1.828e-01
## row607 1.321500 0.0412458 5.797e-01 -2.062e-01 8.950e-01 -3.779e-01
## row608 0.810498 -0.1674787 2.802e-01 -8.069e-01 -1.315e+00 -1.524e+00
## row609 0.999196 -0.5134545 4.797e-01 -2.663e+00 -1.625e+00 -2.076e+00
## row610 3.593216 0.6144677 -1.301e+00 -5.804e+00 2.329e-01 -4.363e+00
## row611 1.647802 -1.3135511 -2.648e+00 -5.562e+00 4.960e-01 1.800e+00
## row612 -0.426650 -0.8333379 1.100e+00 -2.271e-02 -1.182e-01 -2.907e+00
## row613 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row614 -0.841980 -0.7324462 1.354e+00 1.726e+00 -1.623e-01 -8.491e-01
## row615 -1.006177 0.4505787 2.897e+00 -2.060e+00 -3.922e+00 6.444e+00
## row616 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row617 -0.611497 -0.8406206 1.244e+00 5.287e-01 2.221e-01 -2.363e+00
## row618 -0.722156 -0.2979598 4.798e-01 -5.614e+00 -1.916e+00 7.605e+00
## row619 0.780409 6.1059851 2.330e+00 -1.154e+00 -2.357e+00 1.829e+01
## row620 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row621 -0.325910 1.2792776 3.855e+00 -2.155e+00 -1.506e+00 1.059e+01
## row622 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row623 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row624 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row625 -0.200297 -0.1223115 1.021e+00 3.186e+00 -2.028e+00 1.894e+00
## row626 1.581474 -0.7542202 -4.669e-01 -6.013e+00 -3.815e+00 -8.806e+00
## row627 -0.858043 -0.7545073 1.379e+00 1.681e+00 1.505e-02 -9.550e-01
## row628 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row629 1.121273 -0.1320542 6.234e-01 -3.732e-01 -8.521e-01 -5.435e-01
## row630 1.607762 0.0906442 4.728e-01 -4.569e-01 4.305e-01 -9.839e-01
## row631 2.675427 1.0878405 -1.883e-01 1.123e+00 3.955e-01 2.162e+00
## row632 1.929091 0.1680910 7.867e-02 -1.625e+00 5.138e-01 -2.018e+00
## row633 0.809247 -0.6020409 4.765e-01 -2.593e+00 -1.619e+00 -3.062e+00
## row634 1.657555 -0.6926091 -1.568e+00 -4.709e+00 2.688e-01 -3.887e+00
## row635 1.682586 -1.0903880 -3.906e+00 -4.018e+00 -2.515e+00 6.074e+00
## row636 3.110948 -0.0300829 -4.211e-01 -6.516e+00 -3.815e+00 -6.631e-01
## row637 0.538932 -0.3607328 2.798e-01 -1.125e+00 1.146e+00 -4.926e+00
## row638 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row639 -0.489064 -0.2477397 7.961e-01 2.719e+00 -4.059e+00 1.476e+00
## row640 -0.674892 -1.7440186 -2.719e+00 -1.191e+00 1.583e+00 2.945e+00
## row641 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row642 -0.272558 -2.3113745 -3.505e+00 -3.073e+00 4.122e+00 2.513e+00
## row643 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row644 0.113048 -2.2499837 -3.666e+00 -4.143e+00 3.272e+00 1.197e+00
## row645 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row646 -0.523727 0.7239948 3.432e+00 -5.017e+00 -3.450e+00 8.285e+00
## row647 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row648 1.036814 4.9859434 5.606e+00 -1.708e+01 -4.721e+00 1.917e+01
## row649 0.817379 5.3159252 8.325e+00 -9.033e+00 -5.887e+00 3.335e+01
## row650 -1.031982 -1.0573004 -7.415e-01 9.891e-01 -3.834e-01 1.726e+00
## row651 -1.024733 4.5848475 6.718e+00 -1.193e+01 -2.017e+01 3.106e+01
## row652 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row653 -1.938809 6.4196698 -1.517e+00 -1.664e+00 1.102e+01 -5.727e+00
## row654 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row655 0.394714 6.7323512 2.444e+00 -7.626e+00 2.581e+00 1.367e+01
## row656 -0.402202 -1.1274442 -2.331e+00 -1.266e+00 -2.198e+00 1.230e+00
## row657 -0.579942 -0.5758883 1.062e+00 1.580e+00 -1.653e+00 -5.748e-01
## row658 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row659 2.936521 1.0803729 8.759e-01 2.526e+00 2.209e+00 6.210e+00
## row660 0.594540 -0.0687125 6.552e-01 9.648e-01 2.371e+00 -2.245e+00
## row661 2.278379 0.6156663 2.274e-01 2.829e-01 2.163e+00 6.183e-02
## row662 1.507404 -0.4414671 -6.630e-01 -3.178e+00 -2.607e-02 -3.805e+00
## row663 0.136613 -0.6529043 6.362e-01 -1.056e+00 -4.749e-02 -4.264e+00
## row664 -0.012446 -0.7077086 -2.730e-01 -7.526e-01 -2.751e+00 -1.611e+00
## row665 1.637365 -0.7520181 -5.105e-01 -6.180e+00 -3.918e+00 -8.970e+00
## row666 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row667 1.215677 -0.1338475 -2.790e-01 -2.325e+00 1.302e+00 -6.537e+00
## row668 -0.934748 -2.4269178 -5.276e+00 -1.239e+00 3.322e+00 8.272e+00
## row669 -0.388559 1.3561813 -7.366e+00 -7.310e+00 1.095e+01 9.170e-01
## row670 -0.558163 -2.3826675 -5.537e+00 -2.866e+00 2.417e+00 6.092e+00
## row671 -0.178359 -2.1604086 -6.236e+00 -3.904e+00 -1.121e-01 5.398e+00
## row672 -0.054637 -0.9306307 -2.752e+00 -1.074e+00 -2.195e+00 5.384e+00
## row673 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row674 -1.113089 -0.0969497 2.701e+00 -1.415e+00 -1.156e+00 3.357e+00
## row675 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row676 -1.834907 -0.6635417 -2.804e+00 -1.727e+01 1.906e+00 3.360e+01
## row677 0.601261 3.4097776 1.803e-01 -8.048e+00 -8.173e+00 7.897e+00
## row678 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row679 1.020053 -0.4872401 -1.644e+00 -4.443e+00 -3.551e+00 -4.355e+00
## row680 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row681 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row682 -1.056095 1.1783316 3.702e+00 -4.079e+00 -6.521e+00 1.085e+01
## row683 -0.965945 -1.2250397 -9.614e-02 8.099e-01 1.425e+00 7.439e-01
## row684 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row685 -0.091231 2.4034716 5.497e+00 -1.193e+01 -7.984e+00 1.863e+01
## row686 -1.461156 -1.9153196 -1.013e+01 -1.067e+00 -5.392e+00 1.498e+01
## row687 -0.504245 -0.6327083 1.153e+00 1.176e+00 -8.641e-01 -6.731e-01
## row688 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row689 1.413656 0.4024112 7.017e-01 2.109e+00 -8.060e-01 2.495e+00
## row690 2.524850 0.9200404 1.290e-01 1.264e+00 3.539e+00 7.246e-02
## row691 1.960958 0.2951138 -6.538e-02 -1.308e+00 1.472e+00 -2.718e+00
## row692 1.160711 -0.5080529 -1.267e-02 -3.516e+00 -1.428e+00 -5.664e+00
## row693 0.157142 -0.6491821 9.453e-01 -7.787e-01 -5.093e-01 -1.554e+00
## row694 0.789678 -1.2078231 -1.126e+00 -4.388e+00 -1.070e+00 -4.809e+00
## row695 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row696 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row697 1.213482 -0.2893364 -3.333e-02 -2.446e+00 -1.155e-01 -5.731e+00
## row698 -1.062162 -1.9372552 -3.588e+00 -5.108e-01 2.101e+00 5.551e+00
## row699 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row700 -0.957133 -2.1949618 -2.538e+00 -7.810e-01 4.946e+00 3.957e+00
## row701 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row702 -0.953802 -2.0310085 -2.045e+00 -5.049e-01 4.440e+00 3.299e+00
## row703 -0.180573 -2.0799398 -2.888e+00 -2.950e+00 3.259e+00 1.341e+00
## row704 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row705 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row706 -1.101442 0.3835660 9.808e-01 9.441e-01 2.545e+00 -2.159e+00
## row707 -0.247547 -0.8262814 9.603e-01 -5.570e-01 -4.480e-01 -3.433e+00
## row708 -0.575505 4.3668664 8.576e+00 -2.089e+01 -1.407e+01 2.922e+01
## row709 0.697411 0.1379001 9.467e-01 2.528e+00 -7.090e-01 2.327e+00
## row710 0.836674 -0.0461972 1.020e+00 1.578e+00 1.174e+00 -1.769e-01
## row711 2.428174 1.1300923 5.335e-01 3.530e+00 1.561e+00 4.165e+00
## row712 2.182334 0.3152166 -3.926e-02 -1.403e+00 -3.581e+00 8.459e-01
## row713 1.115269 0.3158917 -1.170e-01 2.704e-01 -1.464e+00 -3.963e-01
## row714 0.590023 -0.3831530 2.437e-01 -1.378e+00 8.811e-01 -5.122e+00
## row715 2.892253 -0.2046687 -5.603e-01 -6.878e+00 -4.116e+00 -3.180e+00
## row716 3.263428 0.0916425 -3.241e-01 -6.263e+00 -3.605e+00 1.092e+00
## row717 0.853284 -0.0191218 3.346e-01 9.388e-02 2.341e+00 -3.490e+00
## row718 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row719 2.439016 1.8570184 9.834e-01 8.519e+00 5.039e-01 1.028e+01
## row720 1.818197 0.8355177 7.935e-01 3.500e+00 -7.719e-01 6.062e+00
## row721 2.448840 1.1177174 6.007e-01 3.641e+00 1.508e+00 4.222e+00
## row722 1.527370 0.1046704 -4.926e-02 -1.470e+00 -5.626e+00 1.802e+00
## row723 1.677712 0.1477444 7.170e-01 -4.488e-02 2.525e-01 1.275e+00
## row724 1.182856 0.0171774 7.153e-02 -1.099e+00 -1.271e+00 -1.186e+00
## row725 0.995363 -1.2606041 -1.969e+00 -3.220e+00 1.889e+00 4.766e+00
## row726 1.379987 0.0889610 9.592e-01 3.770e-01 4.994e-01 2.829e+00
## row727 2.087754 0.1222346 -3.435e-01 -2.518e+00 2.635e-01 -5.457e+00
## row728 -1.942122 3.3248746 8.168e+00 -1.451e+01 -1.004e+01 2.501e+01
## row729 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row730 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row731 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row732 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row733 -1.156875 0.7831506 8.154e-01 7.714e-01 3.107e+00 -2.395e+00
## row734 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row735 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row736 -1.439871 2.6654511 -2.826e-01 1.025e-01 3.073e+00 -2.654e+00
## row737 -1.461156 -1.9153196 -1.013e+01 -1.067e+00 -5.392e+00 1.498e+01
## row738 3.328369 3.8599669 3.987e+00 5.255e+00 4.105e+00 2.129e+01
## row739 -2.851874 8.1761786 8.890e+00 -2.220e+01 -1.698e+01 3.644e+01
## row740 -0.721052 -0.7094877 1.249e+00 1.444e+00 -5.104e-01 -1.074e+00
## row741 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row742 1.309232 -0.2670379 6.749e-01 -2.156e+00 -1.202e+00 1.471e+00
## row743 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row744 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row745 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row746 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row747 -0.714802 -2.8639875 -7.489e+00 -3.394e+00 3.411e+00 9.202e+00
## row748 -0.735075 -2.0717463 -6.210e+00 -2.243e+00 -2.883e-01 7.492e+00
## row749 -0.331311 -0.9919847 -4.922e-01 1.155e-01 -1.982e-01 1.629e+00
## row750 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row751 -0.572582 -0.3624457 9.280e-01 2.484e+00 -3.137e+00 9.256e-01
## row752 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row753 -0.947918 0.1812000 2.487e+00 -1.071e+00 -3.183e+00 4.751e+00
## row754 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row755 1.829625 1.1378861 1.651e+00 6.954e+00 4.965e+00 6.907e+00
## row756 1.204732 -0.3016878 5.183e-01 -1.700e+00 -9.504e-01 -1.724e+00
## row757 1.787994 0.3263138 4.255e-01 2.815e-01 1.499e+00 -5.655e-01
## row758 1.191327 -0.3431932 9.564e-02 -2.357e+00 -6.025e-01 -5.252e+00
## row759 0.175209 -0.7078279 8.204e-01 -1.196e+00 -7.944e-01 -2.737e+00
## row760 0.296731 -0.8048375 5.356e-01 -2.181e+00 -1.450e+00 -5.032e+00
## row761 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row762 1.035085 -0.5901110 3.060e-01 -3.248e+00 -2.022e+00 -3.667e+00
## row763 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row764 1.228520 -0.7681261 -1.915e-01 -4.960e+00 -3.166e+00 -7.769e+00
## row765 -2.777592 8.6641240 4.576e+00 -1.619e+01 -1.415e+01 2.556e+01
## row766 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row767 -1.021992 -1.3622384 -1.390e+00 4.997e-01 8.578e-01 2.564e+00
## row768 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row769 -0.987997 -0.4817238 1.243e+00 1.361e+00 5.228e-01 -1.390e+00
## row770 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row771 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row772 -2.777592 8.6641240 4.576e+00 -1.619e+01 -1.415e+01 2.556e+01
## row773 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row774 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row775 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row776 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row777 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row778 -0.565954 -1.3372157 -2.973e-01 -4.773e-01 1.658e+00 -5.254e-01
## row779 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row780 -0.945200 -1.6075666 -7.732e-01 2.081e-01 3.134e+00 1.599e+00
## row781 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row782 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row783 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row784 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row785 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row786 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row787 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row788 -0.239657 -0.8259706 9.541e-01 -5.805e-01 -4.625e-01 -3.456e+00
## row789 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row790 -0.343711 -0.5239726 -6.291e-02 1.253e+00 -2.675e+00 2.094e+00
## row791 1.003315 -0.6456430 2.294e-01 -3.485e+00 -2.194e+00 -4.607e+00
## row792 -0.025292 -0.8175249 7.869e-01 -1.220e+00 -8.572e-01 -4.086e+00
## row793 -1.200506 -4.7367257 -1.334e+01 -5.346e+00 9.219e+00 1.873e+01
## row794 -0.797355 -0.6711562 1.283e+00 1.851e+00 -6.551e-01 -5.551e-01
## row795 -1.092987 -4.4147574 -1.071e+01 -4.654e+00 1.010e+01 1.503e+01
## row796 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row797 1.240793 -1.9217932 -4.603e+00 -7.249e+00 -7.337e-01 -2.136e+00
## row798 1.253684 0.7223297 1.618e+00 5.811e+00 4.097e+00 5.168e+00
## row799 -1.265433 0.5318463 3.705e+00 -3.821e+00 -2.789e+00 7.337e+00
## row800 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row801 -1.024733 4.5848475 6.718e+00 -1.193e+01 -2.017e+01 3.106e+01
## row802 -0.151970 3.7743669 7.115e+00 -8.558e+00 -5.747e+00 2.536e+01
## row803 2.369887 0.4742837 4.179e-01 -8.062e-01 -1.839e+00 4.733e+00
## row804 1.548665 0.3656236 5.385e-01 1.269e+00 -1.565e+00 2.261e+00
## row805 1.433438 0.7276136 9.218e-01 4.058e+00 -5.043e-01 5.540e+00
## row806 1.720751 0.7492673 2.844e-01 2.574e+00 -3.772e+00 4.491e+00
## row807 0.144159 -1.1446268 -5.056e-01 -1.735e+00 8.049e-01 -2.467e-01
## row808 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row809 1.643687 -1.3082208 -2.554e+00 -5.821e+00 1.799e-02 3.125e-01
## row810 -0.405107 -0.8324891 1.083e+00 -8.697e-02 -1.579e-01 -2.970e+00
## row811 -0.933802 -1.0464938 9.120e-01 1.153e+00 1.404e+00 -6.523e-01
## row812 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row813 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row814 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row815 -0.321494 -1.9459800 -5.062e+00 -2.990e+00 -5.595e-02 4.467e+00
## row816 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row817 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row818 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row819 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row820 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row821 -0.961157 -2.3930773 -3.133e+00 -1.115e+00 5.557e+00 4.752e+00
## row822 1.088228 -1.3920568 -1.951e+00 -5.621e+00 -1.022e+00 -4.910e+00
## row823 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row824 0.820382 -1.8130711 -2.982e+00 -5.539e+00 7.224e-01 -2.499e+00
## row825 0.541945 -0.6034425 7.021e-01 -1.740e+00 -1.088e+00 -2.103e+00
## row826 0.686067 -0.7894981 2.318e-01 -3.342e+00 -2.167e+00 -6.175e+00
## row827 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row828 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row829 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row830 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row831 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row832 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row833 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row834 3.461284 1.0358678 1.897e-01 -1.941e-01 -1.143e+00 5.545e+00
## row835 2.485817 1.1023522 8.247e-03 2.131e+00 -9.550e-01 3.716e+00
## row836 1.673376 0.1510065 1.590e-01 -8.670e-01 1.083e+00 -2.693e+00
## row837 1.154668 -0.2955991 1.968e-01 -1.828e+00 -2.646e+00 -2.980e+00
## row838 1.061704 -0.6462972 1.784e-01 -3.677e+00 -2.314e+00 -4.835e+00
## row839 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row840 2.129436 -1.7689967 -4.821e+00 -6.450e+00 3.352e+00 9.504e+00
## row841 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row842 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row843 -0.651688 2.2148387 3.501e+00 -4.076e+00 -1.289e+01 1.638e+01
## row844 -1.008144 -1.0096417 -2.199e-01 1.103e+00 -1.052e-01 9.897e-01
## row845 0.104456 -1.4455165 -1.228e+00 -2.712e+00 8.340e-01 -1.962e+00
## row846 0.571675 -0.1771974 -1.499e-01 6.369e-01 -2.956e+00 1.787e+00
## row847 0.239346 -1.6796257 -3.055e+00 -4.510e-01 5.744e+00 5.654e+00
## row848 -0.207134 -0.6639739 1.229e+00 3.053e-01 1.595e-01 -4.924e-01
## row849 0.706418 -0.2689054 8.541e-01 3.825e-01 3.464e-01 -1.695e+00
## row850 -0.570516 -0.8390061 1.212e+00 4.064e-01 1.466e-01 -2.484e+00
## row851 -0.102893 -0.8205823 8.474e-01 -9.885e-01 -7.143e-01 -3.858e+00
## row852 -0.555822 -0.3394271 9.016e-01 2.531e+00 -3.322e+00 1.036e+00
## row853 1.433065 -1.1585381 -1.555e+00 -6.266e+00 -2.327e+00 -6.793e+00
## row854 1.138618 -0.3116992 7.373e-01 -1.879e+00 -1.049e+00 1.250e+00
## row855 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row856 0.022664 -0.8156354 7.494e-01 -1.363e+00 -9.455e-01 -4.227e+00
## row857 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row858 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row859 0.951410 -0.1960998 6.257e-01 -9.183e-01 -2.383e+00 1.791e+00
## row860 2.166666 0.8281612 1.116e-01 1.882e+00 5.021e-01 5.737e-01
## row861 1.893645 0.3048575 8.378e-02 -4.659e-01 -3.201e+00 5.713e-01
## row862 0.448723 -0.6875921 3.503e-01 -2.150e+00 -2.497e+00 -4.684e+00
## row863 -0.463452 -0.8347879 1.129e+00 8.707e-02 -5.049e-02 -2.798e+00
## row864 2.947312 -0.1607149 -5.252e-01 -6.787e+00 -4.040e+00 -2.546e+00
## row865 1.137069 -1.5535980 -2.679e+00 -5.310e+00 6.246e-01 -5.025e-01
## row866 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row867 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row868 -1.461098 2.1811715 3.212e-01 -5.604e+00 -8.539e+00 1.509e+01
## row869 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row870 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row871 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row872 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row873 -0.279713 -0.6829727 1.255e+00 4.231e-01 2.246e-01 -5.864e-01
## row874 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row875 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row876 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row877 0.051974 -0.8144807 7.266e-01 -1.450e+00 -9.994e-01 -4.313e+00
## row878 -0.565854 -0.8388224 1.209e+00 3.925e-01 1.380e-01 -2.498e+00
## row879 -2.703310 9.1520693 2.612e-01 -1.018e+01 -1.131e+01 1.468e+01
## row880 -0.602720 -0.6728409 -4.670e+00 -3.890e+00 7.286e+00 2.315e+00
## row881 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row882 -0.141451 -1.9909673 -2.655e+00 -2.914e+00 2.920e+00 8.803e-01
## row883 -0.499874 -1.6223121 -1.218e+00 -1.177e+00 2.413e+00 4.188e-01
## row884 -0.980871 -3.3635346 -6.048e+00 -2.749e+00 8.549e+00 8.646e+00
## row885 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row886 -0.931105 2.5436488 -2.703e-01 -1.376e+00 4.693e+00 -4.798e+00
## row887 -0.083389 -2.2485531 -3.485e+00 -3.541e+00 3.605e+00 1.738e+00
## row888 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row889 -2.917111 10.3362423 3.511e+00 -1.553e+01 -4.719e+00 1.955e+01
## row890 -0.550639 -0.8382229 1.197e+00 3.471e-01 1.100e-01 -2.542e+00
## row891 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row892 -1.511448 9.7581645 -3.656e+00 -5.575e-01 6.011e+00 -2.166e+00
## row893 -2.807922 8.4648918 6.337e+00 -1.864e+01 -1.530e+01 3.000e+01
## row894 -2.759734 8.7814300 3.538e+00 -1.474e+01 -1.346e+01 2.294e+01
## row895 2.461779 0.4161092 -1.629e-01 -2.504e+00 -5.717e+00 4.779e+00
## row896 1.822901 -0.0324045 7.039e-02 -2.129e+00 -2.477e+00 -1.895e+00
## row897 3.339182 1.2249535 2.517e-01 1.684e+00 -5.444e-01 4.970e+00
## row898 2.535138 0.6130165 6.392e-02 -4.060e-01 -2.789e+00 2.610e+00
## row899 1.146075 -0.7623974 -5.623e-01 -3.190e+00 -7.706e-01 -2.785e+00
## row900 0.475028 -0.7978129 3.965e-01 -2.712e+00 -1.778e+00 -5.555e+00
## row901 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row902 -0.166582 -0.8230915 8.971e-01 -7.985e-01 -5.971e-01 -3.671e+00
## row903 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row904 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row905 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row906 -0.992015 -0.9773955 1.331e-01 1.181e+00 8.306e-02 4.915e-01
## row907 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row908 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row909 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row910 1.988495 0.1700531 -7.832e-01 3.810e-01 -7.419e-01 6.015e+00
## row911 1.177878 -0.0612913 8.464e-02 -1.082e+00 -6.305e-01 -3.139e+00
## row912 1.835321 0.3439637 -7.574e-01 2.651e-01 -3.375e+00 2.227e+00
## row913 1.363643 -0.3076879 -1.353e+00 -1.119e+00 -8.154e-01 2.239e+00
## row914 0.393106 -1.2590414 -2.267e+00 -1.184e+00 2.411e+00 4.587e+00
## row915 0.486117 -1.3222341 -2.257e+00 -3.275e+00 -2.072e-01 8.286e-01
## row916 0.601114 -1.3769828 -2.791e+00 -4.004e+00 -9.414e-01 5.685e-02
## row917 1.297033 -0.9203182 -2.064e+00 -3.619e+00 -6.203e-01 4.476e-01
## row918 0.329585 -0.0001551 2.813e-02 1.213e+00 -7.052e+00 6.084e-01
## row919 0.158890 -0.2460637 5.564e-01 5.387e-01 2.753e+00 -3.565e+00
## row920 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row921 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row922 -0.971402 -2.8973918 -4.647e+00 -1.964e+00 7.112e+00 6.775e+00
## row923 -0.624079 -0.4331734 1.009e+00 2.339e+00 -2.568e+00 5.864e-01
## row924 -0.945784 -0.7178737 8.896e-01 -3.440e-01 8.189e-03 2.964e+00
## row925 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row926 0.068553 -0.1327732 1.550e+00 3.460e+00 2.312e+00 1.588e+00
## row927 -0.285562 -1.6516934 -1.500e+00 -1.882e+00 2.134e+00 -6.116e-02
## row928 -0.243070 -0.6063453 -1.816e+00 -2.109e+00 -8.073e-01 -8.378e-01
## row929 -0.673301 -1.1711497 3.010e-01 1.403e-01 1.336e+00 -8.838e-01
## row930 -0.203857 -3.0807413 -5.892e+00 -4.626e+00 6.350e+00 5.366e+00
## row931 -0.802050 -0.8978485 9.552e-01 1.276e+00 5.613e-01 -4.008e-01
## row932 -0.936959 -1.2018597 4.453e-01 8.913e-01 1.883e+00 -2.885e-02
## row933 -0.422678 -2.4613829 -3.823e+00 -2.877e+00 4.838e+00 3.524e+00
## row934 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row935 -0.945018 -1.5986013 -7.463e-01 2.232e-01 3.107e+00 1.563e+00
## row936 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row937 0.438849 -1.2250978 -8.622e-01 -3.348e+00 -4.135e-01 -3.764e+00
## row938 -1.038873 -0.6185681 1.588e+00 -5.138e-01 2.955e-01 2.111e+00
## row939 -2.811993 8.4381519 6.574e+00 -1.897e+01 -1.546e+01 3.060e+01
## row940 -1.768448 2.6080365 7.022e+00 -1.177e+01 -8.182e+00 2.048e+01
## row941 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row942 1.165997 4.0020543 -2.293e+00 -4.277e+00 -4.833e+00 2.547e+00
## row943 0.200557 -1.3404400 -1.101e+00 -2.426e+00 1.010e+00 -5.597e-01
## row944 2.109258 0.6543230 9.608e-01 2.270e+00 1.882e+00 3.953e+00
## row945 1.132076 0.1272092 -5.737e-01 1.611e+00 1.621e+00 1.753e+00
## row946 1.428799 0.2968325 -7.934e-02 1.754e+00 -6.377e-01 3.357e+00
## row947 1.179924 -0.3009818 4.956e-01 -1.533e+00 -8.506e-01 -2.347e+00
## row948 0.318881 -0.6889327 7.330e-01 -1.543e+00 -1.003e+00 -2.907e+00
## row949 0.732046 -0.3152133 -1.413e-01 8.512e-01 -3.331e-01 2.701e+00
## row950 0.125472 -0.8115849 6.692e-01 -1.670e+00 -1.135e+00 -4.529e+00
## row951 0.838301 -0.7835003 1.130e-01 -3.796e+00 -2.447e+00 -6.623e+00
## row952 5.027995 2.4689731 -3.631e+00 -3.664e+00 1.145e+01 -1.312e+01
## row953 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row954 -0.830629 -0.7168563 1.336e+00 1.758e+00 -2.877e-01 -7.744e-01
## row955 -1.134180 0.4524875 6.143e-01 1.067e+00 -1.950e-01 -1.295e+00
## row956 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row957 -1.301745 0.6817234 3.945e+00 -4.395e+00 -3.178e+00 8.285e+00
## row958 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row959 0.141702 -0.8109455 6.565e-01 -1.718e+00 -1.165e+00 -4.576e+00
## row960 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row961 -0.684643 -0.8435025 1.301e+00 7.469e-01 3.567e-01 -2.149e+00
## row962 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row963 -0.847957 5.7460578 -3.549e+00 2.378e+00 -1.342e+01 5.161e+00
## row964 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row965 0.603639 -1.2198818 -9.947e-01 -3.842e+00 -7.130e-01 -4.243e+00
## row966 -0.776716 -1.3229751 -5.489e-01 5.383e-01 1.462e+00 1.488e+00
## row967 -0.421897 -3.2373629 -6.169e+00 -4.234e+00 7.202e+00 6.592e+00
## row968 0.063082 0.5105966 -7.653e-02 4.273e+00 -1.016e+01 5.113e+00
## row969 -0.224151 -2.4804492 -4.059e+00 -3.516e+00 4.555e+00 3.047e+00
## row970 1.816843 0.1400483 -2.380e-01 -2.192e+00 -6.092e+00 1.371e+00
## row971 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row972 -0.345258 -0.8301311 1.037e+00 -2.655e-01 -2.681e-01 -3.146e+00
## row973 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row974 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row975 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row976 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row977 -1.942122 3.3248746 8.168e+00 -1.451e+01 -1.004e+01 2.501e+01
## row978 -1.853734 3.9054798 3.034e+00 -7.356e+00 -6.669e+00 1.206e+01
## row979 1.500264 0.1079798 6.124e-01 -4.743e-01 -1.753e+00 3.084e+00
## row980 1.001775 0.3424740 1.078e+00 3.100e+00 2.349e-01 3.835e+00
## row981 1.330630 0.3008319 4.057e-01 1.260e+00 2.536e-01 -5.754e-01
## row982 0.402796 -0.2792379 6.296e-01 -1.065e-01 1.654e+00 -2.181e+00
## row983 -0.490442 -0.8358512 1.150e+00 1.676e-01 -7.964e-04 -2.719e+00
## row984 0.164324 -0.6163104 7.098e-01 -8.095e-01 -1.698e+00 -2.357e+00
## row985 0.929427 -0.8065152 -2.380e+00 -1.986e+00 -5.971e-01 2.181e+00
## row986 2.918285 0.3898155 -1.701e-01 -2.053e+00 -9.209e-01 -3.200e+00
## row987 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row988 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row989 -0.102893 -0.8205823 8.474e-01 -9.885e-01 -7.143e-01 -3.858e+00
## row990 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row991 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row992 -0.616729 -0.8408268 1.248e+00 5.443e-01 2.317e-01 -2.348e+00
## row993 0.166835 -1.0934029 -2.196e-01 -2.288e+00 -3.468e-01 -3.529e+00
## row994 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row995 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row996 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row997 2.114599 0.1719239 -2.177e-01 -2.418e+00 -2.013e+00 -1.863e+00
## row998 1.537101 -0.2586889 -1.940e-01 -3.531e+00 -6.821e-01 -5.068e+00
## row999 1.339932 0.1401107 3.304e-01 3.975e-02 -4.817e-01 -6.799e-01
## row1000 1.123748 -0.1319814 2.778e-01 -9.057e-01 7.732e-01 -3.846e+00
## row1001 0.725250 -0.7879544 2.012e-01 -3.459e+00 -2.239e+00 -6.291e+00
## row1002 0.606179 -0.7133080 4.422e-01 -2.618e+00 -1.683e+00 -4.431e+00
## row1003 -0.376779 -0.8313730 1.061e+00 -1.715e-01 -2.101e-01 -3.053e+00
## row1004 1.056239 -0.7749138 -5.706e-02 -4.446e+00 -2.848e+00 -7.263e+00
## row1005 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row1006 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1007 0.073371 0.1028498 -1.417e-02 -2.226e+00 -2.001e+00 -4.701e+00
## row1008 2.226621 0.9929350 -7.749e-01 4.254e-01 -1.133e+01 7.515e+00
## row1009 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1010 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1011 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1012 3.626793 2.7470160 9.685e-01 1.092e+01 1.658e+00 1.405e+01
## row1013 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1014 0.169372 -0.2864155 1.348e+00 1.883e+00 1.280e+00 1.042e+00
## row1015 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1016 -0.566437 -2.8550784 -4.884e+00 -3.126e+00 6.286e+00 5.481e+00
## row1017 0.083884 -0.1217114 1.551e+00 3.490e+00 2.335e+00 1.634e+00
## row1018 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1019 -0.783217 -0.8736085 6.858e-01 1.023e+00 2.510e-01 -1.484e-01
## row1020 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1021 1.021255 -0.5944054 -1.388e-01 -3.551e+00 -4.039e+00 -5.861e+00
## row1022 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1023 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1024 -0.940314 -0.0840215 9.158e-01 1.530e+00 -6.863e-01 -7.662e-01
## row1025 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1026 -0.457713 -0.5124871 1.520e+00 2.415e+00 1.519e+00 -1.930e-03
## row1027 -0.732063 0.2008297 5.948e-01 -4.875e+00 -3.845e+00 1.214e+01
## row1028 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1029 2.081755 0.0991644 3.757e-01 -1.817e+00 -8.632e-01 3.823e-01
## row1030 0.836981 -0.0605940 5.504e-01 5.439e-01 -2.256e+00 2.066e-01
## row1031 1.035632 -0.2644983 5.867e-01 -6.619e-01 -3.017e-01 -2.737e+00
## row1032 0.916680 -0.2882133 3.728e-01 -9.009e-01 -2.006e+00 -2.801e+00
## row1033 0.117304 -0.7496139 7.919e-01 -1.264e+00 -8.554e-01 -3.319e+00
## row1034 0.072771 -0.6794530 6.298e-01 -9.293e-01 -1.963e+00 -3.415e+00
## row1035 0.484364 -1.6058376 -2.257e+00 -3.384e+00 1.949e+00 1.652e+00
## row1036 2.170775 0.9953785 3.833e-01 2.800e+00 -3.186e+00 6.944e+00
## row1037 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1038 0.371283 -0.8408101 2.751e-02 -2.557e+00 -1.856e+00 -4.696e+00
## row1039 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1040 0.197204 -0.8087588 6.132e-01 -1.884e+00 -1.267e+00 -4.739e+00
## row1041 -0.737258 -0.5886171 1.188e+00 2.020e+00 -1.319e+00 -1.592e-01
## row1042 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1043 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1044 -2.730225 8.9752693 1.824e+00 -1.236e+01 -1.234e+01 1.862e+01
## row1045 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1046 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1047 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1048 1.595833 0.4338719 1.145e+00 2.290e+00 1.814e+00 4.192e+00
## row1049 1.599039 0.5185027 5.849e-01 1.723e+00 -2.291e+00 4.829e+00
## row1050 2.605090 1.7233803 6.926e-01 6.665e+00 3.606e+00 6.511e+00
## row1051 1.327445 -0.6713716 -1.524e+00 -3.260e+00 -3.507e+00 2.922e-01
## row1052 0.823239 -0.5557157 5.510e-01 -2.355e+00 -1.450e+00 -2.232e+00
## row1053 0.148296 -0.8106857 6.514e-01 -1.738e+00 -1.177e+00 -4.596e+00
## row1054 1.172187 0.0384308 3.420e-01 -6.544e-02 1.670e+00 -3.036e+00
## row1055 2.568340 0.4346498 4.709e-01 -1.123e+00 -2.968e-01 3.110e+00
## row1056 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1057 0.936144 -0.7796454 3.665e-02 -4.088e+00 -2.627e+00 -6.910e+00
## row1058 -0.836226 0.6973896 -1.710e+00 8.971e-01 -9.398e+00 3.675e-01
## row1059 -1.041921 -1.0771694 -9.589e-01 9.415e-01 -4.994e-01 2.033e+00
## row1060 -0.849383 -0.7426138 1.365e+00 1.705e+00 -8.057e-02 -8.979e-01
## row1061 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1062 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row1063 0.045419 1.4066852 2.294e+00 4.559e-01 -6.885e+00 1.068e+01
## row1064 -0.870009 -0.7709420 1.398e+00 1.647e+00 1.472e-01 -1.034e+00
## row1065 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1066 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1067 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1068 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1069 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1070 -0.797585 -0.9002318 7.850e-01 8.764e-01 2.043e-01 -1.071e+00
## row1071 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1072 0.086206 0.0152332 4.543e-02 -2.196e+00 -1.932e+00 -4.707e+00
## row1073 -0.435061 -0.1735697 7.107e-01 2.871e+00 -4.656e+00 1.832e+00
## row1074 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1075 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1076 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1077 -0.847957 5.7460578 -3.549e+00 2.378e+00 -1.342e+01 5.161e+00
## row1078 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1079 -0.730749 -0.8453190 1.337e+00 8.844e-01 4.416e-01 -2.013e+00
## row1080 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1081 2.460549 0.7583944 4.163e-01 1.044e+00 -1.272e+00 4.367e+00
## row1082 2.382032 1.1676073 9.265e-01 4.357e+00 8.953e-01 7.400e+00
## row1083 2.649896 0.4308774 1.800e-01 -1.018e+00 -2.538e-01 -7.152e-01
## row1084 1.998242 0.6565110 1.106e+00 2.557e+00 2.066e+00 5.153e+00
## row1085 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1086 2.060547 0.0238771 -2.957e+00 1.094e+00 -2.215e+00 1.139e+01
## row1087 1.809797 0.6385410 -1.131e+00 -8.774e-01 -3.053e+00 -3.655e+00
## row1088 0.752530 -0.0576164 1.075e+00 1.770e+00 1.289e+00 -4.947e-04
## row1089 0.580772 -0.0108204 1.936e-01 1.746e-01 3.507e+00 -4.393e+00
## row1090 1.186895 0.6741394 1.614e+00 5.679e+00 3.997e+00 4.966e+00
## row1091 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row1092 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1093 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1094 -0.381396 -0.0998642 6.259e-01 3.022e+00 -5.248e+00 2.185e+00
## row1095 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1096 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1097 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1098 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1099 -0.510540 -0.0775237 -2.087e-01 1.125e-01 -2.172e+00 -8.788e-01
## row1100 2.450922 1.5861676 1.686e+00 8.187e+00 5.901e+00 8.784e+00
## row1101 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1102 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1103 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1104 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1105 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1106 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1107 -2.278566 9.0632667 -9.676e+00 3.478e+00 -5.639e+00 -7.565e+00
## row1108 -1.604686 6.3951413 -8.177e+00 3.386e+00 -2.482e+01 5.086e+00
## row1109 -0.843877 -0.7089178 7.934e-01 1.632e+00 -6.164e-01 -1.921e+00
## row1110 -1.822072 1.6936183 -1.049e+01 -4.905e+00 5.316e+00 1.032e+01
## row1111 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row1112 1.793024 -0.4529651 -2.365e+00 -3.574e+00 -1.147e+00 -1.454e+00
## row1113 2.163013 -0.4762776 -2.787e+00 -4.481e+00 1.678e+00 -2.809e+00
## row1114 1.809646 0.5227835 1.178e-01 9.916e-01 -5.140e-02 -6.777e-01
## row1115 0.840396 -0.4937748 -1.660e+00 -2.599e+00 -4.077e-01 -3.704e+00
## row1116 0.683126 -1.1433052 -3.431e+00 -3.097e+00 -2.796e+00 3.065e+00
## row1117 0.897523 -1.7064541 -4.284e+00 -3.194e+00 1.690e+00 8.654e+00
## row1118 5.027995 2.4689731 -3.631e+00 -3.664e+00 1.145e+01 -1.312e+01
## row1119 1.180765 -1.0883346 -3.106e+00 -4.165e+00 -3.050e+00 1.175e+00
## row1120 0.535216 -1.1178733 -1.893e+00 -2.518e+00 3.106e+00 -2.125e+00
## row1121 -1.024328 -2.2550213 -6.600e+00 -6.799e-02 2.126e+00 5.561e+00
## row1122 -1.295096 -0.7330407 -1.978e+01 6.217e+00 -1.631e+01 5.690e+00
## row1123 -0.105161 0.2795254 1.894e-01 3.799e+00 -8.298e+00 4.005e+00
## row1124 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1125 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1126 -2.578741 11.5368359 -1.219e+01 3.958e+00 -3.616e+00 -1.048e+01
## row1127 -2.964514 13.3132736 -5.383e+00 -4.184e+00 1.221e+01 -7.092e+00
## row1128 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1129 -1.017914 -5.1870210 -1.152e+01 -5.819e+00 1.417e+01 1.596e+01
## row1130 -0.762845 2.6380699 4.202e+00 -5.748e+00 -1.394e+01 1.907e+01
## row1131 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1132 -2.913166 12.8208271 -5.426e+00 -3.860e+00 9.445e+00 -6.138e+00
## row1133 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1134 -0.746004 -1.8423414 -2.676e+00 -8.200e-02 2.430e+00 5.080e+00
## row1135 0.400842 -4.3128283 -1.052e+01 -7.254e+00 1.135e+01 1.576e+01
## row1136 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1137 -0.988021 -3.7154864 -7.105e+00 -3.341e+00 9.634e+00 1.006e+01
## row1138 -0.990212 -3.8233351 -7.429e+00 -3.523e+00 9.967e+00 1.049e+01
## row1139 -0.538482 -0.3156124 8.742e-01 2.580e+00 -3.514e+00 1.150e+00
## row1140 -2.608293 13.4310523 -4.677e+00 -3.825e+00 1.757e+01 -7.987e+00
## row1141 -1.121015 -0.0642346 2.753e+00 -1.540e+00 -1.241e+00 3.565e+00
## row1142 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1143 -1.069702 -1.0685345 -1.971e+00 -4.156e-01 3.246e+00 2.589e+00
## row1144 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1145 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1146 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1147 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1148 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1149 0.614781 -0.1335267 -2.185e+00 -2.535e+00 -1.577e+00 -2.283e-01
## row1150 0.223982 -0.8884013 -7.023e+00 -6.131e-01 -6.225e+00 -4.241e-01
## row1151 -0.757512 -0.6164354 1.220e+00 1.963e+00 -1.095e+00 -2.927e-01
## row1152 -0.974958 -3.0724239 -5.173e+00 -2.258e+00 7.651e+00 7.478e+00
## row1153 -1.260741 -0.1507375 -1.310e+01 4.679e+00 -1.152e+01 3.134e+00
## row1154 0.423305 -0.4989453 9.985e-01 -7.181e-01 -4.065e-01 3.239e-01
## row1155 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1156 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1157 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1158 -2.777592 8.6641240 4.576e+00 -1.619e+01 -1.415e+01 2.556e+01
## row1159 -2.426289 9.9336361 -2.972e+00 -3.182e+00 1.596e+01 -7.804e+00
## row1160 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1161 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1162 -1.458681 1.3294756 4.980e+00 -6.873e+00 -4.861e+00 1.238e+01
## row1163 1.938455 0.5751508 -3.570e-02 4.591e-01 -7.301e-02 -3.964e-01
## row1164 1.926695 0.2258657 -1.386e-01 -1.667e+00 -6.901e-01 -2.038e+00
## row1165 1.744019 0.5224940 2.493e-01 1.151e+00 -4.938e-01 9.124e-01
## row1166 1.004737 -0.7063684 -6.348e-01 -3.695e+00 -2.659e+00 -3.194e+00
## row1167 2.387927 -0.3881201 -1.924e+00 -5.049e+00 3.966e-01 -4.974e+00
## row1168 1.362407 -0.8065020 -2.801e+00 -3.984e+00 -1.432e+00 4.367e-01
## row1169 0.502180 -0.4354335 3.197e-01 -1.315e+00 7.011e-01 -4.955e+00
## row1170 0.621490 -0.7369779 -1.311e-01 -2.354e+00 -1.011e-01 -3.528e+00
## row1171 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1172 -0.916394 -0.1331113 -8.614e+00 -8.755e-01 -2.302e+00 3.685e+00
## row1173 -0.986602 -3.6456310 -6.895e+00 -3.224e+00 9.419e+00 9.778e+00
## row1174 -1.170292 -0.6699265 -3.034e+00 -9.732e-01 3.440e+00 3.519e+00
## row1175 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1176 -0.121635 -1.3611820 -7.694e-01 -1.875e+00 9.660e-01 -1.667e+00
## row1177 0.318909 -0.8039637 5.183e-01 -2.247e+00 -1.491e+00 -5.097e+00
## row1178 -0.984709 -3.5524451 -6.615e+00 -3.067e+00 9.132e+00 9.404e+00
## row1179 1.309076 -0.4732844 2.901e-01 -3.417e+00 -2.076e+00 -2.454e+00
## row1180 1.123507 -0.7202394 -1.244e-02 -4.329e+00 -2.752e+00 -6.470e+00
## row1181 0.360824 -0.8023123 4.856e-01 -2.372e+00 -1.568e+00 -5.220e+00
## row1182 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1183 -0.618436 -0.7716395 1.379e+00 9.729e-01 5.287e-01 -1.025e+00
## row1184 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1185 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1186 -0.501329 0.1149592 9.021e-01 6.013e-01 6.714e-01 -8.102e-01
## row1187 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1188 -1.908690 5.4021553 -2.716e+00 -4.917e-01 -3.998e+00 -7.887e-01
## row1189 -1.859627 5.8488942 -1.281e+00 -1.417e+00 1.022e+01 -5.390e+00
## row1190 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1191 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1192 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1193 3.412646 1.2002553 4.153e-01 2.232e+00 2.050e+00 2.257e+00
## row1194 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1195 1.353513 -0.5561522 -9.682e-01 -2.327e+00 -1.376e+00 1.197e+00
## row1196 1.387654 -0.1330841 5.748e-01 -1.072e+00 -4.962e-01 -8.345e-01
## row1197 0.076892 -0.8134989 7.071e-01 -1.525e+00 -1.045e+00 -4.386e+00
## row1198 2.401487 0.5463067 2.082e-01 -4.141e-01 -4.090e-01 1.688e+00
## row1199 2.375039 0.8968266 2.107e-01 1.503e+00 -4.725e-01 3.633e+00
## row1200 1.529056 0.3048973 1.418e-01 3.701e-02 -7.808e-01 -8.507e-02
## row1201 -0.076195 -0.9171729 -1.154e-02 4.668e-01 2.022e+00 8.383e-01
## row1202 0.605332 -0.8709445 -1.298e+00 -2.236e+00 2.512e+00 -3.136e+00
## row1203 0.542918 -0.4124169 2.847e-01 -1.349e+00 7.759e-01 -5.035e+00
## row1204 -0.944453 -1.5708072 -6.628e-01 2.700e-01 3.021e+00 1.452e+00
## row1205 -0.575206 -0.8391908 1.216e+00 4.204e-01 1.553e-01 -2.470e+00
## row1206 -0.986602 -3.6456310 -6.895e+00 -3.224e+00 9.419e+00 9.778e+00
## row1207 -0.816697 -0.8487053 1.404e+00 1.141e+00 5.999e-01 -1.761e+00
## row1208 -0.414020 -0.7181300 1.304e+00 6.411e-01 3.452e-01 -7.603e-01
## row1209 -0.949655 -1.8268479 -1.432e+00 -1.611e-01 3.811e+00 2.479e+00
## row1210 -1.123333 -1.9875345 -1.194e+01 1.671e+00 -3.455e+00 6.647e+00
## row1211 -0.604592 -0.7680158 1.374e+00 9.504e-01 5.162e-01 -1.007e+00
## row1212 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1213 -2.737791 8.9255684 2.264e+00 -1.297e+01 -1.263e+01 1.973e+01
## row1214 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1215 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1216 -0.758491 -0.8083015 1.430e+00 1.200e+00 6.544e-01 -1.206e+00
## row1217 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1218 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1219 -0.359101 3.3872438 6.932e+00 -1.923e+01 -1.296e+01 2.036e+01
## row1220 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1221 1.893377 0.9552930 3.106e-01 1.042e+00 -9.343e-01 3.259e+00
## row1222 1.973276 0.2405418 -2.710e-01 -1.780e+00 -5.093e-01 -3.174e+00
## row1223 1.662045 0.3982306 3.188e-01 7.166e-01 5.590e-01 -2.312e-02
## row1224 2.223134 0.1087074 -9.203e-01 -2.894e+00 -5.539e-01 -2.239e+00
## row1225 1.154234 -0.5438531 -5.926e-01 -2.655e+00 7.732e-01 -1.354e+00
## row1226 1.427004 -0.6440596 -1.294e+00 -3.131e+00 1.152e+00 -1.759e+00
## row1227 1.403961 -0.8726368 -3.070e+00 -2.456e+00 5.244e+00 -1.967e-01
## row1228 -0.617417 -0.6474351 1.243e+00 1.466e+00 -6.032e-01 -4.335e-01
## row1229 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1230 3.548340 0.3190886 -1.428e-01 -5.791e+00 -3.212e+00 4.370e+00
## row1231 1.609342 0.0838965 3.889e-01 -9.726e-01 -2.324e+00 1.537e+00
## row1232 -0.523051 -0.8371360 1.175e+00 2.649e-01 5.924e-02 -2.623e+00
## row1233 0.209188 -0.8082866 6.039e-01 -1.919e+00 -1.289e+00 -4.774e+00
## row1234 -0.955290 -2.1042410 -2.265e+00 -6.282e-01 4.666e+00 3.592e+00
## row1235 -0.751843 -0.7247095 1.503e+00 1.832e+00 1.076e+00 -8.904e-01
## row1236 -0.960472 -2.3593440 -3.031e+00 -1.058e+00 5.453e+00 4.616e+00
## row1237 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1238 -1.194327 -1.6520941 -6.069e+00 -2.673e+00 6.522e+00 7.556e+00
## row1239 -0.981841 -3.4112866 -6.191e+00 -2.829e+00 8.696e+00 8.838e+00
## row1240 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1241 2.680024 -0.0007814 -4.522e-01 -4.119e+00 -2.353e+00 -5.830e+00
## row1242 1.504197 0.2266363 6.106e-03 6.955e-01 1.137e+00 4.505e+00
## row1243 1.591854 0.7727722 2.924e-01 3.796e-01 1.983e+00 -1.547e+00
## row1244 1.657394 1.0625925 -3.513e-01 1.735e+00 -9.253e-01 8.034e-01
## row1245 2.091131 0.7104778 3.337e-02 -8.333e-01 -2.401e-01 -7.483e-01
## row1246 2.204485 -0.0005323 -3.315e-01 -3.447e+00 -9.406e-01 -4.942e+00
## row1247 2.186161 -0.0733708 -4.968e-01 -1.680e+00 5.232e-01 1.907e+00
## row1248 0.821004 -0.4216783 5.716e-01 -1.105e+00 -6.364e-01 -3.405e+00
## row1249 1.447203 -0.4024289 3.044e-01 -3.429e+00 -2.053e+00 -1.615e+00
## row1250 1.537955 0.5229100 -6.295e-01 -6.515e-01 5.217e+00 -6.272e+00
## row1251 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1252 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1253 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1254 -1.012770 -0.3234045 1.136e+00 1.312e+00 4.012e-01 -1.374e+00
## row1255 -1.124338 -1.2419402 -2.762e+00 5.466e-01 -1.461e+00 4.579e+00
## row1256 -0.865702 -2.0306362 -7.696e+00 -3.210e+00 1.952e+00 9.133e+00
## row1257 -0.895443 -0.9858674 -9.275e-01 -6.156e-02 1.723e+00 9.529e-01
## row1258 -0.625911 -0.6407540 1.236e+00 1.515e+00 -6.769e-01 -4.021e-01
## row1259 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1260 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1261 -1.269327 1.5937520 4.799e-01 4.212e-01 4.245e+00 -2.875e+00
## row1262 1.027619 -0.0880142 4.856e-01 -7.034e+00 -4.771e+00 -1.377e+00
## row1263 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1264 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1265 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1266 -0.594580 -0.3926594 9.628e-01 2.422e+00 -2.894e+00 7.807e-01
## row1267 0.994155 6.4771355 -1.942e+00 5.272e+00 8.624e-01 7.453e+00
## row1268 1.405679 0.0772183 8.400e-01 -9.266e+00 -6.019e+00 -3.625e+00
## row1269 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1270 1.846889 0.2517204 3.595e-01 -1.284e-01 8.828e-01 -1.457e+00
## row1271 1.543970 0.6040322 -1.919e-01 2.573e-01 2.834e+00 -5.630e-01
## row1272 2.528957 0.7663060 2.032e-01 8.695e-01 1.309e+00 5.011e-01
## row1273 1.552559 -0.1521110 1.685e-01 -1.922e+00 -5.975e-01 -3.836e+00
## row1274 2.385847 0.1006809 3.303e-02 -2.631e+00 -1.378e+00 -2.094e+00
## row1275 1.942635 -0.6973503 -1.588e+00 -3.843e+00 1.825e-01 2.349e-01
## row1276 0.101356 -0.7094512 8.805e-01 -9.674e-01 -6.530e-01 -2.496e+00
## row1277 2.008133 0.1962846 2.275e-01 -1.579e+00 2.552e-01 -2.894e-01
## row1278 2.920385 1.7036534 4.750e-01 5.275e+00 6.986e+00 3.476e+00
## row1279 -0.994487 -4.0337790 -8.061e+00 -3.877e+00 1.062e+01 1.134e+01
## row1280 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1281 1.879153 0.2726870 -8.552e-01 -2.748e+00 2.743e+00 -7.770e+00
## row1282 -0.653978 -0.8338170 -2.905e+00 -1.262e+00 5.054e+00 3.109e+00
## row1283 -0.957807 -2.2281331 -2.637e+00 -8.368e-01 5.048e+00 4.090e+00
## row1284 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1285 -0.314293 -0.5276137 8.317e-01 9.514e-01 -2.403e+00 -1.085e+00
## row1286 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1287 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1288 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1289 -0.772954 -0.1866654 9.742e-01 1.144e+00 -3.555e-01 -7.837e-01
## row1290 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1291 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1292 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1293 -0.790980 -0.8476921 1.384e+00 1.064e+00 5.525e-01 -1.836e+00
## row1294 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1295 -0.146331 0.2229809 2.544e-01 3.683e+00 -7.844e+00 3.734e+00
## row1296 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1297 2.215487 0.6552994 -2.395e-01 3.419e+00 2.023e+00 5.334e+00
## row1298 1.693866 0.4910952 5.798e-01 1.760e+00 9.072e-01 1.179e+00
## row1299 1.969438 0.7925691 6.398e-01 3.226e+00 -5.553e-02 3.021e+00
## row1300 2.332548 0.5873658 2.046e-01 2.643e-01 -6.549e-01 1.151e+00
## row1301 1.397725 -0.3375691 -3.376e-01 -2.446e+00 -1.695e+00 -4.620e-01
## row1302 4.786393 2.8322898 -6.364e-01 5.196e+00 1.017e+01 2.493e+00
## row1303 0.321712 -0.8038533 5.161e-01 -2.255e+00 -1.496e+00 -5.105e+00
## row1304 -1.043329 -6.4380976 -1.528e+01 -7.926e+00 1.803e+01 2.098e+01
## row1305 0.588078 -0.3694799 9.293e-01 -1.468e-01 -1.107e-02 -5.625e-01
## row1306 1.307677 0.0285037 5.795e-01 -1.950e-01 8.487e-01 -5.572e-01
## row1307 1.032501 -0.3284243 -2.306e-01 2.410e-01 5.473e-01 1.581e+00
## row1308 -0.933866 -0.1853809 1.547e-01 1.470e+00 -1.368e+00 5.004e-01
## row1309 -0.733250 -0.7112946 1.504e+00 1.869e+00 1.104e+00 -8.342e-01
## row1310 -0.587460 -0.8396736 1.226e+00 4.570e-01 1.778e-01 -2.434e+00
## row1311 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1312 -1.120535 0.9469154 -6.472e+00 7.313e+00 -1.509e+01 -3.955e+00
## row1313 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1314 0.600758 0.2057761 1.024e+00 -8.144e+00 -5.671e+00 9.335e-01
## row1315 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1316 1.632848 1.8742040 -1.167e+00 1.356e+00 -8.236e+00 2.436e+00
## row1317 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1318 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1319 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1320 -0.841230 -0.2126336 9.203e-01 7.190e-01 -2.385e-02 -1.915e+00
## row1321 -0.766089 -0.8467114 1.365e+00 9.898e-01 5.067e-01 -1.909e+00
## row1322 -1.738751 4.0679933 -2.673e+00 -8.125e-01 2.719e+00 -8.377e-01
## row1323 0.313993 -0.0441047 1.583e+00 -5.657e+00 -3.773e+00 -8.537e-01
## row1324 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1325 -1.268328 1.3097868 3.750e-02 7.972e-01 -8.537e-01 -1.207e+00
## row1326 2.353679 0.6330203 1.924e-01 7.760e-01 3.841e-01 -3.814e-01
## row1327 1.968940 0.4320461 3.588e-01 6.431e-01 1.687e+00 -1.252e+00
## row1328 1.780684 -0.0161722 -4.997e-02 -2.039e+00 -1.077e-01 -4.621e+00
## row1329 1.037514 0.0415321 5.753e-01 6.698e-01 1.780e+00 -1.983e+00
## row1330 2.861506 0.6594061 -5.241e-01 -2.016e+00 1.675e+00 -3.158e+00
## row1331 2.499880 0.2694474 -1.473e+00 -2.177e+00 1.294e+00 -3.568e-01
## row1332 1.022984 -0.5440640 8.014e-02 -3.250e+00 -1.362e+00 -5.481e+00
## row1333 1.497787 0.1135991 4.494e-01 -5.178e-01 -5.891e-01 7.801e-01
## row1334 2.730853 1.0040798 -3.268e-01 5.696e-01 4.090e+00 -2.509e+00
## row1335 -1.026052 -1.0454441 -6.117e-01 1.018e+00 -3.142e-01 1.543e+00
## row1336 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1337 -2.388823 9.1907477 -3.621e+00 -2.428e+00 6.887e+00 -4.803e+00
## row1338 0.898061 -0.8771576 -1.044e+00 -4.355e+00 -3.219e+00 -5.429e+00
## row1339 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1340 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1341 0.045747 -0.5977777 1.136e+00 -1.052e-01 -6.754e-02 -1.650e-01
## row1342 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1343 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1344 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1345 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1346 4.589126 3.1289367 1.808e+00 1.243e+01 9.122e+00 1.524e+01
## row1347 1.093037 -0.7734640 -8.577e-02 -4.556e+00 -2.916e+00 -7.371e+00
## row1348 3.861704 2.2478917 9.158e-01 7.188e+00 2.427e+00 1.197e+01
## row1349 2.495109 0.9418992 6.850e-01 2.922e+00 1.202e+00 3.526e+00
## row1350 1.538175 0.4124249 5.851e-01 1.768e+00 -1.101e+00 1.998e+00
## row1351 1.434668 0.3659453 8.174e-01 1.958e+00 -1.011e-01 2.713e+00
## row1352 1.327782 0.0909051 -5.826e-01 -1.654e+00 -3.042e+00 -4.302e+00
## row1353 1.380905 -0.0650999 1.628e-01 -1.746e+00 -4.228e+00 1.058e+00
## row1354 1.915163 -0.1892072 -9.222e-01 -1.979e+00 -1.675e+00 1.996e+00
## row1355 1.412036 0.2302769 3.880e-01 2.810e-01 -3.219e+00 2.739e+00
## row1356 0.668757 1.6855722 -3.967e-01 -5.611e+00 -4.527e+00 -2.742e+00
## row1357 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1358 -1.058089 -3.3439555 -7.273e+00 -2.831e+00 7.046e+00 1.042e+01
## row1359 1.053493 -0.0489535 -6.285e-01 -5.002e+00 -3.606e+00 -7.513e+00
## row1360 -0.805374 -0.4974205 1.118e+00 8.344e-01 2.106e-01 -1.919e+00
## row1361 0.456435 2.4017868 4.362e-01 -8.123e+00 -6.474e+00 1.749e+00
## row1362 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1363 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1364 -1.713747 0.6868422 -9.148e+00 -1.249e+00 -5.836e+00 1.159e+01
## row1365 -0.538016 0.8010495 2.616e-01 -5.706e-03 -8.982e-01 -4.665e-01
## row1366 0.796339 0.8962046 -5.635e-01 -2.432e+00 -4.166e+00 -1.340e+00
## row1367 -1.081093 0.1132265 8.425e-01 1.174e+00 6.570e-02 -1.329e+00
## row1368 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1369 0.540846 -0.8758785 -5.875e-01 -3.229e+00 -2.456e+00 -4.598e+00
## row1370 1.971982 0.7314648 7.423e-01 2.856e+00 3.122e+00 1.445e+00
## row1371 1.672610 0.3309191 7.899e-01 1.591e+00 1.324e+00 3.738e-01
## row1372 0.752615 -0.3602922 4.164e-01 -1.493e+00 2.845e-01 -3.004e+00
## row1373 0.316560 0.0461708 1.564e+00 3.952e+00 2.686e+00 2.337e+00
## row1374 -0.091068 -0.4276017 1.076e+00 1.270e+00 1.560e+00 -1.676e+00
## row1375 1.598048 0.9707968 1.637e+00 6.494e+00 4.616e+00 6.208e+00
## row1376 0.790986 -0.6452391 -2.241e+00 -2.210e+00 -2.491e+00 5.293e+00
## row1377 0.100001 -0.1100824 1.552e+00 3.522e+00 2.360e+00 1.683e+00
## row1378 -1.859627 5.8488942 -1.281e+00 -1.417e+00 1.022e+01 -5.390e+00
## row1379 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row1380 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1381 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1382 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1383 -0.856207 -0.7519864 1.376e+00 1.686e+00 -5.216e-03 -9.429e-01
## row1384 1.033027 0.2864196 7.419e-01 2.036e+00 -2.026e+00 3.767e+00
## row1385 0.461721 -0.3110687 8.057e-01 3.464e-01 -1.107e+00 -5.068e-01
## row1386 0.915224 0.1475609 7.778e-01 1.556e+00 -1.828e+00 3.163e+00
## row1387 1.585579 0.3346504 4.982e-01 4.038e-01 2.152e+00 6.121e-01
## row1388 1.478624 -0.3513538 3.729e-01 -3.218e+00 -1.900e+00 -7.586e-01
## row1389 0.891945 -1.1600948 -2.646e+00 -3.600e+00 -5.843e-01 3.214e+00
## row1390 1.330765 -0.2059891 -8.941e-01 -9.698e-01 1.001e+00 5.251e-01
## row1391 -0.825660 -0.7100322 1.328e+00 1.772e+00 -3.425e-01 -7.416e-01
## row1392 -0.873718 -0.8509518 1.449e+00 1.311e+00 7.049e-01 -1.593e+00
## row1393 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1394 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1395 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1396 -1.461156 -1.9153196 -1.013e+01 -1.067e+00 -5.392e+00 1.498e+01
## row1397 -1.195516 -1.3842420 -4.320e+00 2.055e-01 -2.292e+00 6.778e+00
## row1398 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1399 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1400 1.189754 0.1757622 6.204e-01 7.348e-01 -2.424e+00 3.363e+00
## row1401 -0.041176 -0.4624130 8.507e-01 7.026e-01 -4.800e-01 -1.827e+00
## row1402 0.846600 -0.0438164 4.947e-01 3.480e-01 -1.515e+00 -9.482e-02
## row1403 0.171586 -0.4804108 1.082e+00 5.107e-01 3.508e-01 -1.078e+00
## row1404 1.302398 -0.5056080 -1.238e+00 -2.496e+00 3.552e-01 3.950e-01
## row1405 0.557493 -0.0747985 6.975e-01 1.450e+00 -1.746e+00 3.731e-02
## row1406 0.478641 -0.1096123 -2.352e+00 1.865e+00 -1.239e+00 5.944e+00
## row1407 -0.012486 0.4068085 4.289e-02 4.060e+00 -9.322e+00 4.616e+00
## row1408 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1409 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1410 -2.929505 12.9775290 -5.412e+00 -3.963e+00 1.033e+01 -6.442e+00
## row1411 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1412 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1413 -0.991802 -3.9016250 -7.664e+00 -3.655e+00 1.021e+01 1.081e+01
## row1414 -1.002508 -2.0249669 -2.835e+00 -5.673e-01 3.514e+00 4.438e+00
## row1415 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1416 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1417 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1418 -1.284063 -1.5612678 -6.257e+00 -2.188e-01 -3.325e+00 9.514e+00
## row1419 -0.576199 -0.7605833 1.364e+00 9.043e-01 4.908e-01 -9.703e-01
## row1420 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1421 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1422 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1423 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1424 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row1425 2.911765 0.6836789 -1.421e+00 -1.716e+00 -2.131e+00 3.733e+00
## row1426 1.885803 0.4559562 5.642e-01 8.038e-01 -1.279e+00 3.588e+00
## row1427 0.562987 -0.3144188 4.262e-01 1.400e-01 5.017e-01 -2.933e-01
## row1428 0.433542 -0.5094562 -8.009e-01 -3.303e-01 -1.605e+00 3.461e-01
## row1429 1.082226 -1.0081053 -1.097e+00 -3.754e+00 -2.147e-01 -2.088e-01
## row1430 0.041965 -0.4004232 -2.696e+00 2.861e+00 2.956e-01 8.102e+00
## row1431 0.825388 0.0249910 -1.082e+00 1.031e+00 1.143e-01 1.931e+00
## row1432 -0.159540 -0.2973477 1.537e+00 3.007e+00 1.969e+00 8.988e-01
## row1433 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1434 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1435 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1436 0.430524 -0.8596360 -2.634e-01 -2.818e+00 -2.111e+00 -4.568e+00
## row1437 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1438 -0.618415 -0.8408932 1.250e+00 5.493e-01 2.348e-01 -2.343e+00
## row1439 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1440 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1441 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1442 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1443 2.145302 0.3623125 1.433e-01 -8.052e-01 -2.706e+00 1.540e+00
## row1444 1.464215 -0.2463077 -2.211e-01 -3.105e+00 -5.049e+00 -2.575e+00
## row1445 1.668941 0.0156712 1.546e-01 -1.439e+00 -2.587e+00 -1.064e+00
## row1446 1.676977 0.3730022 -4.037e+00 -1.514e+00 -4.603e+00 4.480e-01
## row1447 2.282456 0.8634422 -8.194e-01 1.711e+00 -5.029e-02 3.262e+00
## row1448 -0.141344 -0.8220972 8.774e-01 -8.738e-01 -6.435e-01 -3.745e+00
## row1449 0.528591 -0.4137985 7.141e-01 -7.904e-01 -1.853e+00 -1.480e-01
## row1450 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1451 -1.566618 1.7749881 5.692e+00 -8.578e+00 -6.018e+00 1.520e+01
## row1452 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1453 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1454 -0.540922 1.9573177 -1.019e+00 -1.853e+00 -2.843e+00 -3.564e+00
## row1455 0.317055 -0.1231779 -1.335e+00 3.580e+00 1.337e+00 6.843e+00
## row1456 2.317169 0.3189626 9.820e-02 -1.816e+00 -3.116e+00 2.395e+00
## row1457 0.796671 -0.3280451 5.415e-01 -8.734e-01 -1.773e+00 -1.477e+00
## row1458 0.818985 -0.3533042 4.287e-01 -1.252e+00 -2.394e+00 -1.738e+00
## row1459 0.063021 -0.6991586 9.324e-01 -7.809e-01 -5.324e-01 -2.158e+00
## row1460 0.351169 -0.4927427 7.463e-01 -6.810e-01 -1.705e+00 -8.611e-01
## row1461 0.948996 -0.5144475 -1.016e+00 -2.563e+00 -3.738e+00 -1.138e-01
## row1462 2.493770 1.7284287 -1.454e+00 8.278e+00 -1.529e-01 1.420e+01
## row1463 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1464 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1465 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1466 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1467 -0.284036 -0.2076489 1.079e+00 2.988e+00 -1.675e+00 1.505e+00
## row1468 1.700397 1.8262700 1.901e+00 -4.643e+00 -8.286e+00 9.933e+00
## row1469 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1470 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1471 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1472 -1.840897 5.7138750 -1.225e+00 -1.359e+00 1.003e+01 -5.310e+00
## row1473 1.994988 1.7731122 2.700e+00 -7.883e+00 -4.944e+00 9.169e+00
## row1474 1.336555 0.8327110 -1.191e+00 -3.793e+00 -6.816e+00 -3.712e+00
## row1475 -0.290521 -0.4792333 1.033e+00 1.265e+00 -1.651e+00 3.832e-01
## row1476 0.364725 -0.2914183 7.763e-01 2.666e-01 -2.388e+00 1.309e+00
## row1477 0.463776 -0.0380775 4.915e-01 1.014e+00 -4.552e+00 2.520e+00
## row1478 -0.300286 -0.8283593 1.001e+00 -3.997e-01 -3.509e-01 -3.278e+00
## row1479 1.002134 -0.5979755 3.194e-01 -3.190e+00 -1.989e+00 -3.696e+00
## row1480 1.421142 0.1425228 3.570e-01 -1.908e-01 -5.544e-01 -1.042e-01
## row1481 -0.012486 0.4068085 4.289e-02 4.060e+00 -9.322e+00 4.616e+00
## row1482 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1483 -0.847027 -1.0986265 -1.448e+00 2.446e-01 -1.059e+00 1.876e+00
## row1484 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1485 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1486 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1487 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1488 0.833935 2.3310874 -2.344e+00 -6.203e+00 -5.710e+00 -7.716e+00
## row1489 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1490 -1.390913 1.0497653 4.533e+00 -5.803e+00 -4.134e+00 1.061e+01
## row1491 2.213322 6.8617688 -3.376e-01 6.939e+00 1.353e+01 7.214e+00
## row1492 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1493 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1494 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1495 1.332391 1.4338280 2.903e+00 -1.271e+01 -8.298e+00 7.280e+00
## row1496 1.002186 2.6370563 6.734e-01 -1.034e+01 -3.096e+00 -4.980e-01
## row1497 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1498 -1.160509 0.6207489 5.011e-01 1.014e+00 -3.243e-01 -1.278e+00
## row1499 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1500 -3.064432 11.4149750 4.819e+00 -1.800e+01 1.320e+00 2.023e+01
## row1501 0.598514 2.3394779 8.361e-01 -1.065e+01 -8.001e+00 1.123e+00
## row1502 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1503 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1504 -0.060139 -0.4611052 9.954e-01 7.228e-01 -1.473e+00 4.807e-01
## row1505 0.990291 0.1865734 7.100e-01 1.474e+00 -2.209e+00 3.362e+00
## row1506 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1507 0.750136 -0.3988460 2.733e-01 -1.705e+00 -1.605e+00 -3.208e+00
## row1508 2.074443 0.1670682 -5.458e-01 -3.349e+00 9.840e-01 -4.785e+00
## row1509 1.334000 0.4650468 -6.520e-01 2.967e+00 -1.528e+00 7.205e+00
## row1510 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1511 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1512 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1513 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1514 -1.437665 0.5809849 -1.694e+01 5.017e+00 -1.442e+01 4.522e+00
## row1515 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1516 -0.169885 0.1906313 2.916e-01 3.617e+00 -7.584e+00 3.579e+00
## row1517 -2.440725 10.0414622 -1.173e+01 4.321e+00 -1.150e+01 -6.978e+00
## row1518 -1.075772 -1.7091596 -3.554e+00 -9.618e-01 3.666e+00 5.024e+00
## row1519 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1520 -0.571737 -0.3612858 9.267e-01 2.486e+00 -3.146e+00 9.312e-01
## row1521 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1522 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1523 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1524 2.875629 0.6437722 6.406e-02 -7.430e-01 6.313e-01 -2.763e-01
## row1525 2.179511 0.7028569 6.083e-01 1.874e+00 -2.031e-01 3.623e+00
## row1526 1.658590 0.2428638 4.910e-01 3.465e-01 -1.094e+00 9.130e-01
## row1527 1.064576 0.0438314 9.743e-01 1.428e+00 1.118e+00 3.949e-01
## row1528 1.101840 -0.4516482 3.580e-01 -2.343e+00 -1.413e+00 -3.687e+00
## row1529 1.376166 -0.0765522 2.247e-01 -1.572e+00 4.497e-01 -2.546e+00
## row1530 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1531 -0.263670 4.3862990 -2.835e+00 3.799e+00 -1.543e+01 6.994e+00
## row1532 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1533 -2.954368 7.5029137 1.484e+01 -3.050e+01 -2.090e+01 5.145e+01
## row1534 -0.966223 -2.6424499 -3.882e+00 -1.534e+00 6.326e+00 5.752e+00
## row1535 2.048900 0.7444202 -8.768e-01 2.161e-01 2.094e+00 -1.886e+00
## row1536 -3.130366 14.9038284 -5.242e+00 -5.233e+00 2.116e+01 -1.017e+01
## row1537 -1.070599 6.2641938 -3.821e+00 1.837e+00 -1.266e+01 4.463e+00
## row1538 -1.238369 2.0594259 -1.139e+01 1.092e+01 -2.492e+01 -5.516e+00
## row1539 -1.461156 -1.9153196 -1.013e+01 -1.067e+00 -5.392e+00 1.498e+01
## row1540 2.268885 0.2799341 -6.998e-01 -2.229e+00 -6.165e+00 -2.843e+00
## row1541 1.448594 -0.4125983 -2.633e-01 -3.726e+00 -2.705e+00 -6.320e+00
## row1542 1.682070 -0.1379373 2.703e-01 -1.971e+00 -1.062e+00 -2.722e+00
## row1543 1.093219 -0.2407756 3.801e-01 -1.413e+00 1.688e-02 -2.839e+00
## row1544 0.580040 -0.2769336 6.506e-01 -6.185e-02 1.029e+00 -2.534e+00
## row1545 1.078620 -0.2903607 6.109e-01 -1.158e+00 -6.113e-01 -1.628e+00
## row1546 0.651379 -0.3736384 3.376e-01 -1.389e+00 6.228e-01 -4.076e+00
## row1547 1.837190 0.5591021 -1.271e-01 2.641e-01 3.717e+00 -3.436e+00
## row1548 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1549 -1.091146 -2.2341875 -4.860e+00 -1.045e+00 2.590e+00 7.289e+00
## row1550 -0.990303 -0.9739745 1.705e-01 1.189e+00 1.030e-01 4.386e-01
## row1551 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1552 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1553 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1554 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1555 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1556 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1557 1.879387 0.2173697 -1.825e-01 -1.472e+00 -5.776e-01 -3.031e+00
## row1558 2.076800 0.6598185 4.157e-01 1.515e+00 7.063e-01 1.650e+00
## row1559 2.222174 0.5734957 -4.935e-01 -8.838e-01 -1.215e+00 -2.058e+00
## row1560 1.682151 0.0150597 -1.129e-02 -1.786e+00 3.817e-01 -4.135e+00
## row1561 0.794123 -0.3330380 5.477e-01 -9.007e-01 1.078e-01 -2.849e+00
## row1562 1.342752 -0.1652293 -1.772e-01 -2.657e+00 5.465e-01 -5.320e+00
## row1563 2.239321 0.8356637 -4.395e-01 2.637e-01 2.199e+00 -2.099e+00
## row1564 -2.387516 10.6638313 -5.050e+00 -2.081e+00 1.148e+00 -2.505e+00
## row1565 -0.822957 -0.7063200 1.324e+00 1.779e+00 -3.724e-01 -7.238e-01
## row1566 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1567 -1.172319 0.8944728 7.694e-01 7.233e-01 3.263e+00 -2.461e+00
## row1568 0.904903 1.6667813 -1.407e+00 6.641e+00 -1.945e+01 1.066e+01
## row1569 -1.020463 -1.0342700 -4.894e-01 1.044e+00 -2.489e-01 1.370e+00
## row1570 -2.600816 9.8253343 -5.692e+00 -1.885e+00 -7.397e+00 -3.365e-01
## row1571 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1572 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1573 -1.649000 4.3306037 -6.528e-01 -7.612e-01 8.090e+00 -4.492e+00
## row1574 1.974731 0.6555433 6.127e-01 2.319e+00 -7.219e-02 2.489e+00
## row1575 2.650676 0.9558043 5.415e-01 2.237e+00 2.544e-01 4.115e+00
## row1576 2.085863 0.9208571 6.912e-01 3.077e+00 4.147e+00 2.727e+00
## row1577 0.422327 -0.0939740 1.304e+00 2.585e+00 1.783e+00 7.656e-01
## row1578 1.323436 -0.1208932 7.134e-01 -9.024e-01 -3.791e-01 6.186e-01
## row1579 1.432875 0.2814419 -2.333e-01 -1.031e+00 3.370e+00 -4.052e+00
## row1580 1.624256 0.3796275 -6.174e-01 -2.586e-01 -7.132e-01 1.411e+00
## row1581 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1582 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1583 -1.449465 0.5173524 -7.434e+00 2.052e-01 -3.645e+00 5.735e+00
## row1584 -2.784610 11.5879544 -5.535e+00 -3.047e+00 2.513e+00 -3.750e+00
## row1585 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1586 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1587 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1588 -3.174495 15.3270363 -5.204e+00 -5.512e+00 2.354e+01 -1.099e+01
## row1589 -2.851223 12.2267814 -5.479e+00 -3.468e+00 6.105e+00 -4.988e+00
## row1590 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1591 -1.770282 7.6806252 4.346e+00 -1.198e+01 -8.757e+00 2.192e+01
## row1592 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1593 -1.277617 0.5821377 3.786e+00 -4.014e+00 -2.920e+00 7.655e+00
## row1594 2.529849 1.1889610 9.750e-01 4.339e+00 1.803e+00 6.886e+00
## row1595 2.258228 0.3954354 -8.979e-01 1.195e+00 -5.225e-01 7.178e+00
## row1596 1.356499 0.0355543 6.311e-02 -1.273e+00 -5.145e+00 1.577e+00
## row1597 2.478891 1.0250246 2.533e-04 1.369e+00 1.947e+00 2.033e+00
## row1598 0.850862 -0.1915880 -2.958e-01 7.021e-01 1.209e+00 1.415e+00
## row1599 1.079509 0.5147477 -4.538e-01 8.596e-01 5.068e-01 -2.778e+00
## row1600 1.523951 0.5870463 -4.092e-02 1.307e+00 1.459e+00 -1.478e+00
## row1601 -2.805961 11.7927143 -5.517e+00 -3.182e+00 3.664e+00 -4.147e+00
## row1602 2.236166 -0.7284261 -9.777e-01 -7.966e+00 -5.021e+00 -1.073e+01
## row1603 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1604 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1605 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1606 -0.729476 -0.8452689 1.336e+00 8.806e-01 4.393e-01 -2.017e+00
## row1607 -0.929875 -0.8531644 1.493e+00 1.478e+00 8.082e-01 -1.428e+00
## row1608 -2.817651 11.9048213 -5.507e+00 -3.256e+00 4.295e+00 -4.364e+00
## row1609 3.203200 2.5789053 5.988e-01 1.025e+01 -1.627e+00 1.352e+01
## row1610 -1.901073 6.0400562 -2.350e+00 -3.920e+00 -2.665e+00 6.394e+00
##
##
## Site constraints (linear combinations of constraining variables)
##
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6
## row1 -1.251401 3.700973 -2.2893600 0.7763368 0.795118 -1.4754487
## row2 -0.950192 2.909512 -1.7002380 0.1387196 -1.662059 -0.4399573
## row3 -0.990722 2.946211 -1.7340842 0.3013150 -1.358625 -0.5520425
## row4 -1.032209 3.161297 -1.8767683 0.2714965 -0.969070 -0.7488483
## row5 -1.092664 3.315612 -1.9885027 0.4040241 -0.473023 -0.9609675
## row6 -0.902503 3.043271 -1.7467633 -0.2508438 -1.912527 -0.4262596
## row7 -1.066641 3.188038 -1.9033203 0.4145950 -0.713912 -0.8411697
## row8 -0.751396 1.471464 -2.8653195 1.2910721 -1.096636 -0.2674977
## row9 -0.741549 1.220747 -3.0429268 1.0268411 -0.917844 -0.2690855
## row10 -0.692583 1.260685 -2.9827816 0.8430905 -1.325627 -0.1407067
## row11 -0.799496 1.366069 -3.2413505 1.0492412 -0.387465 -0.4708770
## row12 -0.705581 1.162364 -2.8201251 1.1756295 -1.394411 -0.0790343
## row13 -0.765454 1.235810 -3.3196547 0.7832891 -0.517349 -0.3910066
## row14 -0.720257 1.156311 -2.8771536 1.1747456 -1.235591 -0.1313536
## row15 -0.770432 1.063197 -3.5421242 0.5348250 -0.232503 -0.4371834
## row16 -0.675995 0.988077 -2.7935610 1.1008707 -1.602516 0.0481671
## row17 -0.749841 1.436621 -2.8779237 2.2822281 -2.637636 -0.7617069
## row18 -0.745776 1.407816 -2.9231389 2.3016010 -2.762674 -0.6299068
## row19 -0.737108 1.185539 -2.8695291 1.2819688 -1.151433 -0.1577940
## row20 -0.910419 2.578884 -0.6954408 -0.0225880 1.323487 -0.3762280
## row21 -0.762875 2.035073 -0.2989175 -0.1639251 0.067306 0.1811312
## row22 -0.745085 2.058358 -0.3068960 -0.2789854 -0.046873 0.2101728
## row23 -0.750720 2.176782 -0.3828036 -0.3813776 0.042808 0.1460023
## row24 -0.807536 2.299879 -0.4723439 -0.2328500 0.502007 -0.0468257
## row25 -0.725924 2.155055 -0.3506349 -0.4831270 -0.126968 0.1939469
## row26 1.372122 0.770312 -0.1406828 3.4812959 1.598656 0.0009633
## row27 1.479535 0.982743 -0.2322139 2.7071286 0.941718 0.1424659
## row28 1.637808 1.189985 -0.3064592 1.6837925 -0.078223 0.4062651
## row29 1.755499 1.127796 -0.2041650 1.1587523 -0.899089 0.6583314
## row30 1.210733 0.339027 -0.4554701 -0.2132410 -1.098550 -0.5319267
## row31 1.170627 0.646189 -0.6696942 -0.3498043 -0.698573 -0.7409652
## row32 1.143490 0.667219 -0.7864432 -0.2251144 -0.622642 -0.6502904
## row33 1.152905 0.788279 -0.8907574 -0.4020225 -0.678983 -0.6273746
## row34 -0.536746 -0.085273 -1.2126060 1.3508046 0.323136 0.6589906
## row35 1.714457 1.344195 -0.3734998 1.1284680 -0.546019 0.5062517
## row36 1.776564 1.584856 -0.4164715 0.5404706 -0.766827 0.3943586
## row37 -0.456717 -0.094532 -1.6596677 0.2966639 0.207637 0.7025056
## row38 -0.492981 0.286908 -1.9754444 -0.0795956 0.755217 0.3728849
## row39 -0.440181 0.156885 -1.7712381 -0.0136290 0.168196 0.6355958
## row40 -0.542144 0.508534 -2.0017496 0.1093941 1.059885 0.2154055
## row41 -0.506257 0.211996 -1.7854346 0.3136466 0.618574 0.4720295
## row42 -0.480288 0.321130 -1.7547716 0.1376599 0.472190 0.4437274
## row43 -0.473083 0.016475 -2.0742683 -0.2326901 0.717452 0.4911156
## row44 -0.436171 0.276294 -1.9805259 -0.3998862 0.387473 0.4909786
## row45 -0.532827 0.203324 -2.0323220 0.1010830 1.058329 0.3185109
## row46 -0.382948 0.723944 -1.4621166 0.8929327 -2.027540 0.1004316
## row47 -0.470673 0.378889 -1.4877734 0.5078848 0.046609 0.6189554
## row48 -0.529699 0.353012 -1.6754118 0.5675000 0.638788 0.4280587
## row49 -0.491895 -0.020142 -2.0008842 -0.0123482 0.770173 0.4906029
## row50 -0.551412 0.228742 -1.9408021 0.3439526 1.062120 0.3263871
## row51 -0.558024 0.302222 -1.7393821 0.6529851 0.887399 0.3692035
## row52 -0.474062 0.203468 -1.4439954 0.6213999 0.068224 0.6582759
## row53 -0.535872 0.014206 -2.2173326 -0.0782523 1.261962 0.3235841
## row54 -0.512573 -0.284966 -2.3185853 -0.2713247 1.245455 0.4225871
## row55 -0.468127 -0.026764 -1.4549979 0.6381217 0.062559 0.7376934
## row56 -0.931751 2.586863 -0.7066572 0.0755572 1.477750 -0.4294627
## row57 -0.401331 0.752667 -1.4465451 0.9485931 -1.834571 -0.0212416
## row58 -0.465602 0.547227 -1.5013872 1.5178712 -1.681690 0.1984579
## row59 -0.416636 0.377740 -1.4675940 0.2377730 -0.331294 0.7392551
## row60 -0.782529 2.063216 -0.3220043 -0.0964697 0.218559 0.1226372
## row61 -0.778016 2.176861 -0.3879210 -0.2449732 0.239700 0.0773358
## row62 -0.776440 2.232817 -0.4215232 -0.3147299 0.253438 0.0551519
## row63 -0.824693 2.367219 -0.5184750 -0.2212553 0.653143 -0.1177574
## row64 -0.726886 2.225553 -0.3903745 -0.5566655 -0.084305 0.1532312
## row65 -0.784670 2.222033 -0.4173761 -0.2615464 0.306835 0.0409585
## row66 -0.905696 2.603028 -0.7084168 -0.0730006 1.301260 -0.3769485
## row67 -0.297675 0.673716 -1.3961503 0.5196282 -2.639345 0.3047153
## row68 -0.461306 0.570806 -1.5139592 1.4702011 -1.700906 0.1966870
## row69 -0.443197 0.360974 -1.4678466 0.3898105 -0.154401 0.6896391
## row70 -0.749127 2.106942 -0.3372748 -0.3124712 0.003817 0.1776470
## row71 -0.758335 2.130810 -0.3547182 -0.2926663 0.079264 0.1455175
## row72 -0.766553 2.245837 -0.4288134 -0.3784172 0.186349 0.0760431
## row73 -0.788010 2.325435 -0.4811048 -0.3591345 0.376685 -0.0149442
## row74 -0.680050 2.143152 -0.3242809 -0.7006739 -0.449287 0.2967400
## row75 1.617008 1.270253 -0.3521561 1.6981974 0.116654 0.3048906
## row76 1.571274 1.443863 -0.4714856 1.7356078 0.516960 0.1184542
## row77 1.547343 1.430517 -0.4720788 1.8705548 0.678036 0.0717366
## row78 1.670214 1.537514 -0.4969642 1.1356940 -0.137800 0.3015234
## row79 1.137234 0.728272 -0.7327494 -0.2727117 -0.430232 -0.8511198
## row80 1.145735 0.686902 -0.7542652 -0.2635124 -0.572969 -0.7283185
## row81 1.133026 0.690514 -0.8421005 -0.1936500 -0.588431 -0.6199669
## row82 1.150792 0.696239 -0.8548914 -0.2872590 -0.730477 -0.5564495
## row83 -0.502799 -0.112605 -1.1874275 1.2109909 0.069071 0.7531665
## row84 1.711972 1.679087 -0.4653781 0.7567637 -0.232381 0.1535375
## row85 -0.488319 -0.176391 -1.9446897 -0.3052391 0.629671 -0.6998943
## row86 -0.324909 -0.661085 -1.9417229 -1.0953212 -0.367529 -0.2441389
## row87 -0.469554 -1.082613 -3.1827670 -1.8834387 1.786697 -0.7739580
## row88 -0.405821 -0.672373 -1.0943790 0.5578134 -0.672258 -0.1183648
## row89 -0.363843 -0.034629 -1.2234382 -0.0092193 -0.928184 -0.2326355
## row90 -0.339359 -0.575333 -1.1837976 0.0243185 -1.016381 -0.0550313
## row91 -0.444222 -0.427609 -1.9191221 -0.4538106 0.354686 -0.5374540
## row92 -0.337164 -0.598869 -0.9149430 0.3935259 -1.285665 0.0403394
## row93 -0.397710 -0.338016 -1.6507327 -0.3638044 -0.217032 -0.3859978
## row94 -0.396327 -0.565380 -1.9107731 -0.6803994 0.061134 -0.4084831
## row95 -0.358393 0.346489 -1.2462220 0.8141781 -2.505047 -0.8687017
## row96 -0.455612 -0.047985 -1.2071955 0.5267352 -0.336926 -0.4132065
## row97 -0.715991 1.542209 0.0278130 -0.2312617 -0.574985 -0.7406434
## row98 -0.722154 1.749619 -0.0973267 -0.4300107 -0.435360 -0.8558464
## row99 -0.738403 1.800194 -0.1332886 -0.4044015 -0.298500 -0.9163966
## row100 -0.763006 1.875768 -0.1875295 -0.3644639 -0.092244 -1.0069300
## row101 -0.607501 1.755501 -0.0443485 -1.0142046 -1.213597 -0.6304063
## row102 -0.928417 2.108811 -0.4025514 0.2103009 1.148927 -1.4581736
## row103 -0.353429 0.406951 -1.2838886 0.7227357 -2.516294 -0.8811208
## row104 -0.439399 0.135055 -1.2301443 1.4650610 -2.142244 -0.8083000
## row105 -0.412179 -0.062851 -1.1881256 0.3257393 -0.654230 -0.3004607
## row106 -0.757637 1.523532 0.0281649 -0.0019571 -0.287221 -0.8311284
## row107 -0.771307 1.577503 -0.0097205 0.0070446 -0.167886 -0.8861931
## row108 -0.784931 1.649416 -0.0555003 -0.0043937 -0.036970 -0.9545766
## row109 -0.783770 1.830618 -0.1669132 -0.2103507 0.033497 -1.0331374
## row110 -0.630158 1.527335 0.1189566 -0.6522141 -1.114274 -0.6307282
## row111 -0.413559 0.035224 -1.0388487 0.5163212 -0.801485 -0.2835655
## row112 -0.423510 -0.107065 -1.1849506 0.3905799 -0.555763 -0.3292498
## row113 -0.441503 -0.244498 -1.3531773 0.2908544 -0.256536 -0.3819003
## row114 -0.415943 -0.328733 -1.1376426 0.4765988 -0.628079 -0.2316108
## row115 -0.459474 -0.137137 -1.4126006 0.2807172 -0.096651 -0.4661580
## row116 -0.416814 -0.314632 -1.0188540 0.6478984 -0.744615 -0.1943197
## row117 -0.435145 -0.298586 -1.7031433 -0.2241520 0.052331 -0.4705481
## row118 -0.402920 -0.449083 -1.1854799 0.3747150 -0.660890 -0.1785320
## row119 -0.435642 -0.156716 -1.4270778 0.1297094 -0.232086 -0.4207401
## row120 1.709658 1.034596 -0.1554651 1.1154343 -0.717806 -0.6514129
## row121 1.662911 1.009152 -0.1495720 1.3774370 -0.393164 -0.7556373
## row122 1.596950 0.886987 -0.1015508 1.8440727 0.009835 -0.8410034
## row123 1.697239 1.018571 -0.1582084 1.1965116 -0.648671 -0.6578580
## row124 1.143228 0.181236 -0.3640784 -0.0777353 -0.780079 -1.8789067
## row125 1.223612 0.376318 -0.4566802 -0.6967498 -1.258433 -1.7860735
## row126 1.128723 0.218759 -0.4849588 -0.0348908 -0.783277 -1.7701612
## row127 1.169205 0.345160 -0.6033858 -0.3709934 -1.083011 -1.6432481
## row128 -0.453166 -0.350386 -1.0146062 0.8478054 -0.478513 -0.2810376
## row129 1.741173 1.468724 -0.3259319 0.4670385 -0.637240 -0.9227368
## row130 -0.376135 -0.446039 -1.5443404 -0.2869346 0.316956 -0.0573285
## row131 -0.300639 -0.449650 -0.9022038 0.1897466 -0.794671 0.2993059
## row132 -0.348913 -0.598119 -1.2337737 0.0360129 -0.141940 0.1398540
## row133 -0.340919 -0.555373 -0.9473031 0.3840488 -0.480679 0.2392679
## row134 -0.267026 -0.373555 -1.2302307 -0.4609086 -0.732174 0.2629591
## row135 -0.236928 -0.674402 -0.8390620 -0.0196337 -1.242386 0.5101023
## row136 -0.252579 -0.632475 -0.7094094 0.2350987 -1.265762 0.5038321
## row137 -0.308747 -0.522746 -1.4139277 -0.4884261 -0.198875 0.1051931
## row138 -0.243974 -0.617040 -1.3860945 -0.7712492 -0.660451 0.2918157
## row139 -0.580332 1.596760 0.2082918 -0.7316858 -0.878974 -0.2045139
## row140 -0.580014 1.633113 0.1859618 -0.7734358 -0.865446 -0.2200705
## row141 -0.659683 1.672418 0.1390394 -0.4174818 -0.284088 -0.4245737
## row142 -0.665586 1.736593 0.0963277 -0.4585905 -0.216308 -0.4647254
## row143 -0.485423 1.432152 0.3914830 -1.0323987 -1.551324 -0.0012425
## row144 -0.302160 0.189586 -0.9748181 0.9475317 -2.360315 -0.3952739
## row145 -0.358059 0.010694 -0.9584622 1.4349835 -2.143978 -0.3130795
## row146 -0.322860 -0.230670 -0.8868949 0.3036094 -0.730723 0.2321550
## row147 -0.346797 0.061289 -0.9827526 1.3221885 -2.196938 -0.3156746
## row148 -0.271487 -0.055692 -0.9739378 -0.1479465 -1.010464 0.2635327
## row149 -0.616680 1.243733 0.4128614 -0.1592214 -0.778472 -0.1266611
## row150 -0.648091 1.418167 0.2965400 -0.1944489 -0.479989 -0.2789133
## row151 -0.723598 1.660552 0.1264278 -0.0837674 0.161203 -0.5662185
## row152 1.863950 0.935473 0.0688530 0.6982986 -1.293923 0.0932280
## row153 1.850534 0.864126 0.1039181 0.8449835 -1.236562 0.1024828
## row154 1.878579 0.900968 0.0864126 0.6640525 -1.422817 0.1564616
## row155 1.837606 0.811291 0.1311016 0.9683587 -1.170181 0.0987885
## row156 1.338538 0.261778 -0.2430151 -0.8984176 -1.574110 -1.1115905
## row157 1.348958 0.293330 -0.2568261 -0.9858298 -1.630710 -1.1058724
## row158 1.302931 0.178988 -0.1958412 -0.6292583 -1.349690 -1.1686411
## row159 1.285714 0.210463 -0.2251284 -0.5771055 -1.220576 -1.2146600
## row160 -0.373293 -0.549313 -0.6699598 0.9040550 -0.466459 0.1974771
## row161 1.869969 1.226036 0.0626676 0.3260089 -0.986735 -0.3150184
## row162 -0.393701 -0.283759 -1.3015234 0.0900373 0.204073 -0.0853849
## row163 -0.308489 -0.546521 -0.6917352 0.5397152 -0.913150 0.3591847
## row164 -0.395170 -0.182069 -1.1425915 0.2903335 0.052619 -0.0710611
## row165 -0.383469 -0.137684 -0.9568453 0.4784025 -0.216609 0.0061520
## row166 -0.239925 -0.629463 -0.5516804 0.3759967 -1.488723 0.5677077
## row167 -0.348641 -0.387610 -1.2569101 -0.0898529 -0.093905 0.0252979
## row168 -0.244192 -0.872082 -0.4107770 0.6530649 -1.553945 0.6617565
## row169 -0.270042 -0.854698 -1.3731643 -0.5916258 -0.402216 0.2480406
## row170 -0.782956 1.906814 -0.0654558 -0.0553577 0.658383 -0.7765004
## row171 -0.412940 0.155506 -1.0204255 1.5448315 -1.636276 -0.5800195
## row172 -0.412940 0.155506 -1.0204255 1.5448315 -1.636276 -0.5800195
## row173 -0.667713 1.446324 0.2744252 -0.1272901 -0.327687 -0.3389958
## row174 -0.664778 1.665654 0.1447750 -0.3848431 -0.247001 -0.4386309
## row175 -0.569349 1.519573 0.3210565 -0.7091623 -0.909282 -0.2498971
## row176 -0.681870 1.679266 0.1285754 -0.3138346 -0.123864 -0.4798184
## row177 -0.419791 0.145397 -1.0595632 1.5957127 -1.648831 -0.5175275
## row178 -0.385232 -0.024951 -1.0313054 0.3890235 -0.199339 -0.0067842
## row179 1.775130 1.034511 -0.0124122 1.0335162 -0.615155 -0.1682268
## row180 1.772493 1.031088 -0.0122661 1.0506660 -0.599549 -0.1708074
## row181 1.761759 0.981104 0.0147031 1.1597779 -0.546273 -0.1721999
## row182 1.771290 0.993221 0.0233564 1.0969575 -0.591007 -0.1781456
## row183 1.267183 0.400761 -0.3113084 -0.6989040 -0.959089 -1.4056340
## row184 1.241372 0.295111 -0.2555527 -0.4525773 -0.824829 -1.4152920
## row185 1.236652 0.235131 -0.2238444 -0.3621827 -0.822586 -1.3927451
## row186 1.223747 0.181936 -0.1825655 -0.2402424 -0.738420 -1.4198657
## row187 -0.413882 -0.530930 -0.6828993 1.0859861 -0.157989 0.0770543
## row188 1.748361 1.194253 -0.0184067 0.9788783 -0.225442 -0.4733947
## row189 -0.769332 1.852821 -0.0289867 -0.0639273 0.537520 -0.7191210
## row190 -0.381193 -0.010703 -0.7798391 0.7050786 -0.455990 0.0647711
## row191 -0.311001 -0.521429 -0.6352880 0.6257802 -0.953846 0.3645486
## row192 -0.332455 -0.613425 -0.8977892 0.4153568 -0.567501 0.2805233
## row193 -0.336710 -0.386733 -0.7573241 0.5657289 -0.688893 0.2392457
## row194 -0.313897 -0.675675 -0.5087356 0.8507426 -1.023885 0.4304902
## row195 -0.346608 -0.165143 -0.7174385 0.6304485 -0.708802 0.1855062
## row196 -0.332367 -0.538866 -0.6489398 0.7257635 -0.791309 0.3154398
## row197 -0.288556 -0.570609 -0.5653649 0.6075482 -1.156513 0.4411856
## row198 -0.370526 -0.091576 -0.8287411 0.5948766 -0.463116 0.0889064
## row199 -0.317491 -0.942522 -0.4973563 0.9333236 -0.941834 0.4704249
## row200 -0.706661 1.790593 0.0499922 -0.3121675 0.096323 -0.5830101
## row201 -0.722832 1.769527 0.0536612 -0.2072551 0.195552 -0.6034476
## row202 -0.728995 1.833213 0.0164634 -0.2471805 0.271856 -0.6530009
## row203 -0.564786 1.597401 0.2752886 -0.8181159 -0.906597 -0.2756868
## row204 -0.723360 1.804754 0.0323612 -0.2435880 0.215340 -0.6214680
## row205 -0.622146 1.595848 -0.0999195 -0.5227701 0.164221 -0.1375022
## row206 -0.260308 -0.592567 -1.4744789 -0.4268310 0.035035 0.4425169
## row207 -0.167143 -0.632646 -0.9030519 -0.1471410 -1.106064 0.8107551
## row208 -0.348510 -0.537350 -1.8755177 -0.5256007 1.015788 0.1000250
## row209 -0.311379 -0.466093 -1.5363858 -0.2614203 0.412852 0.2840200
## row210 -0.147714 -0.706421 -1.0347509 -0.4533309 -1.047897 0.7853182
## row211 -0.167293 -0.603309 -0.8780144 -0.1378589 -1.104866 0.7851062
## row212 -0.195752 -0.873449 -1.5153791 -0.8477195 -0.197416 0.5367713
## row213 -0.428859 1.092723 0.3312022 -0.9441186 -1.337359 0.4293442
## row214 -0.571940 1.445527 0.0255713 -0.6107006 -0.232511 0.0161573
## row215 -0.580243 1.452630 0.0181860 -0.5768473 -0.171459 -0.0054091
## row216 -0.584290 1.554969 -0.0402637 -0.6703146 -0.090763 -0.0707200
## row217 -0.592584 1.508318 -0.0194393 -0.5765221 -0.059568 -0.0597282
## row218 -0.638582 1.609760 -0.0961512 -0.4578541 0.308905 -0.2113232
## row219 -0.474321 1.481858 0.0949921 -1.1480972 -0.824563 0.1196714
## row220 -0.266884 -0.069798 -1.0956536 1.0547501 -1.967507 -0.0417796
## row221 -0.346539 -0.028636 -1.2090815 1.4166671 -1.470789 -0.1356414
## row222 -0.309473 -0.267669 -1.1342975 0.2728486 -0.064362 0.4058973
## row223 -0.485624 1.863156 -0.1724837 -1.5089795 -0.616942 -0.0282382
## row224 -0.576209 1.512297 -0.0343789 -0.6608784 -0.196208 0.0061298
## row225 -0.625172 1.627347 -0.1034510 -0.5444643 0.221208 -0.1872938
## row226 -0.615174 1.640417 -0.1073808 -0.6091769 0.157745 -0.1718944
## row227 -0.601418 1.676451 -0.1268391 -0.7177919 0.074452 -0.1538244
## row228 -0.370207 1.476273 0.0684815 -1.6564552 -1.642229 0.4679944
## row229 -0.566441 1.614489 -0.0784871 -0.8247101 -0.199955 -0.0442995
## row230 -0.361988 1.522521 0.0587809 -1.7507760 -1.658846 0.4384327
## row231 1.886091 0.928157 -0.2028130 0.5919118 -0.687717 0.2885999
## row232 1.878677 0.936405 -0.2099786 0.6199667 -0.631578 0.2674550
## row233 1.883122 0.906294 -0.1900641 0.6309308 -0.676035 0.2912526
## row234 1.870026 0.942978 -0.2145716 0.6558338 -0.564938 0.2409349
## row235 1.359682 0.307025 -0.5461654 -1.0580129 -0.936431 -0.9442056
## row236 1.349582 0.275619 -0.5226344 -0.9735664 -0.869341 -0.9658092
## row237 1.373865 0.163691 -0.4461190 -0.9717369 -1.089184 -0.8596285
## row238 1.352027 0.206907 -0.4779967 -0.9101195 -0.914444 -0.9319275
## row239 -0.295275 -0.699184 -0.8311765 0.6742070 -0.309265 0.5765549
## row240 1.917893 0.985002 -0.1287772 0.3573362 -0.757666 0.1671428
## row241 -0.600027 1.480714 -0.0088444 -0.5081887 -0.024461 -0.0574581
## row242 -0.447570 1.410594 0.0940257 -1.1969820 -1.113567 0.3039427
## row243 -0.217034 -0.237460 -0.9984576 0.9925699 -2.420021 0.1851229
## row244 -0.309633 -0.034110 -1.1969574 1.2379276 -1.736866 -0.0436190
## row245 -0.276108 -0.295637 -1.1134085 0.1372093 -0.320481 0.5066933
## row246 -0.535633 1.619343 -0.0870582 -0.9827296 -0.434793 0.0502508
## row247 -0.409768 1.405899 0.1199928 -1.3828108 -1.367281 0.3737318
## row248 -0.255105 -0.571304 -0.9242798 0.3442811 -0.585957 0.6698261
## row249 -0.231710 -0.750531 -0.6551070 0.6375228 -0.975920 0.8533122
## row250 -0.225381 -0.737108 -1.0980441 -0.0314880 -0.576454 0.7076708
## row251 -0.186689 -0.901537 -1.2050249 -0.3626262 -0.692702 0.7866968
## row252 -0.277434 -0.728075 -0.7521718 0.7514569 -0.586159 0.7239527
## row253 -0.524361 1.382125 0.0781860 -0.7791767 -0.597088 0.1562547
## row254 -0.538322 1.543479 -0.0244503 -0.8875112 -0.427030 0.0496899
## row255 -0.397320 1.278213 0.2115388 -1.3053271 -1.498809 0.4444195
## row256 -0.152116 -0.026544 -1.1113741 0.4343565 -2.789978 0.2450550
## row257 -0.279451 -0.210214 -1.0778691 1.2809081 -2.024638 0.1029404
## row258 -0.234767 -0.385354 -1.0403702 0.0283364 -0.644496 0.6337783
## row259 -0.462197 1.301006 0.1778366 -1.0051438 -1.030928 0.2840216
## row260 -0.593306 1.543827 -0.0600280 -0.6098355 -0.063168 -0.0458348
## row261 -0.497276 1.470807 0.0570815 -1.0160928 -0.716631 0.1358931
## row262 -0.647053 2.194723 -0.1127973 0.2893416 -0.131848 0.0624134
## row263 -0.596083 2.296731 -0.1346417 -0.0821149 -0.413905 0.0909479
## row264 1.857390 1.845998 -0.4318076 1.0730144 -0.842338 0.3677962
## row265 1.837453 1.711999 -0.3528780 1.3207136 -0.756742 0.3777797
## row266 1.823066 1.729065 -0.3671408 1.3739367 -0.646965 0.3357687
## row267 1.819526 1.616605 -0.2983938 1.5158452 -0.670201 0.3772252
## row268 1.294470 1.050958 -0.6687237 -0.2029918 -0.895453 -0.8889813
## row269 1.231670 0.950744 -0.6276193 0.2228455 -0.497843 -0.9865315
## row270 1.234199 0.828312 -0.5524669 0.3455282 -0.570314 -0.9238588
## row271 1.230022 0.876835 -0.5869282 0.3132881 -0.524030 -0.9497126
## row272 -0.377407 0.149516 -1.0648153 1.5034791 -0.157340 0.6161146
## row273 1.550117 2.285348 -0.7069724 2.1177433 1.633542 -0.6919750
## row274 -0.347690 0.363930 -1.5465668 0.5897805 0.110808 0.4398734
## row275 -0.398024 0.155752 -1.1982056 1.3977927 0.154045 0.4869613
## row276 -0.359625 0.363311 -1.5531828 0.6397216 0.206797 0.4036584
## row277 -0.355565 0.377561 -1.6710322 0.4431929 0.299793 0.3634675
## row278 -0.351999 0.144018 -1.0854331 1.3074231 -0.263275 0.6269935
## row279 -0.361897 0.306467 -1.6910417 0.4575694 0.387122 0.3487252
## row280 -0.351247 0.103099 -1.1176984 1.2634421 -0.223778 0.6225742
## row281 -0.307123 0.160006 -1.8555015 -0.0492514 0.219733 0.4360273
## row282 -0.697660 2.272074 -0.1730340 0.4573545 0.262628 -0.0941800
## row283 -0.704032 2.608994 -0.0264165 0.5788243 0.165316 -0.1957630
## row284 0.092921 -0.124356 -0.1836577 2.5286231 -0.577231 0.7711809
## row285 0.018632 -0.326066 -0.2043439 3.1391400 -0.300447 0.8986912
## row286 0.046319 -0.523388 -0.1615072 1.9967030 1.185875 1.4055839
## row287 -0.265413 1.466362 0.8228724 1.0535324 1.498624 0.7607444
## row288 -0.279789 1.483433 0.8089428 1.1066539 1.608761 0.7181888
## row289 -0.250481 1.431995 0.8496523 1.0164732 1.379680 0.8089095
## row290 -0.319400 1.431696 0.8228416 1.3631941 1.858072 0.6599564
## row291 -0.276297 1.613051 0.7561877 0.9427488 1.674504 0.6235958
## row292 -0.342303 1.527444 0.7574246 1.3722300 2.062067 0.5630290
## row293 -0.351067 1.731078 0.6469430 1.1890687 2.235534 0.4211383
## row294 -0.233209 1.885846 0.5755585 0.4285064 1.455567 0.6443544
## row295 -0.222418 2.115049 0.4571769 0.1187979 1.504641 0.5329382
## row296 0.026146 -0.086729 -0.2040571 2.8190931 -0.059447 0.5604800
## row297 -0.033165 0.037080 -0.4364475 2.9968773 0.232729 0.6030633
## row298 -0.052530 -0.132068 -0.4249255 2.0592492 2.063840 0.9878789
## row299 -0.400583 1.738359 0.6169607 1.4306485 2.574536 0.3211527
## row300 2.025853 1.378899 0.2223791 2.6246369 2.333592 0.5506366
## row301 -0.445767 1.876381 0.5329710 1.5029738 2.972779 0.1294011
## row302 1.997907 1.467907 0.1643084 2.6658201 2.576413 0.4370196
## row303 2.009606 1.447765 0.1637888 2.6314358 2.463558 0.5012379
## row304 2.020051 1.443120 0.1827500 2.5825877 2.404698 0.5054469
## row305 1.516705 0.744232 -0.0996359 0.9021362 1.967286 -0.6493779
## row306 1.543423 0.743520 -0.0986692 0.7698638 1.768489 -0.5743183
## row307 1.573418 0.746523 -0.0784083 0.6145103 1.575064 -0.5284493
## row308 1.565541 0.807947 -0.1142128 0.5856227 1.663172 -0.5818411
## row309 -0.106779 -0.275479 -0.3368596 2.4877212 2.405482 0.8992661
## row310 1.899004 1.640102 0.1583080 2.9555332 3.519291 -0.0910318
## row311 -0.430684 1.967888 0.4857577 1.3256838 2.912108 0.1153409
## row312 -0.198300 1.500936 0.8029036 0.6811185 1.015101 0.9329277
## row313 0.021553 0.118564 -0.3386447 1.7018697 1.460878 1.0969799
## row314 0.029384 -0.141763 -0.6299514 1.3056283 1.743959 1.0754923
## row315 0.032333 -0.025683 -0.3742811 1.6268373 1.447516 1.1441188
## row316 0.021401 -0.251858 -1.0010799 0.8558383 2.174356 0.9668155
## row317 0.031284 -0.065845 -0.3566752 1.6662912 1.444974 1.1567366
## row318 0.045991 -0.241816 -1.0334135 0.6418555 2.086090 0.9652665
## row319 0.051181 -0.060897 -0.2322661 1.7421248 1.172899 1.2540418
## row320 -0.260572 1.778007 0.6376509 0.6843626 1.606965 0.6227789
## row321 -0.258774 1.762388 0.6480954 0.6925617 1.587837 0.6334912
## row322 -0.253670 1.787076 0.6332992 0.6398388 1.561071 0.6361359
## row323 -0.381797 1.529517 0.7469463 1.5676617 2.345369 0.4659751
## row324 0.111529 0.253987 -0.2191769 1.9936482 -0.293396 0.3169216
## row325 0.009731 0.272839 -0.5641120 2.5207694 0.038472 0.5885315
## row326 -0.335119 1.662445 0.6830509 1.1862637 2.078732 0.5076702
## row327 -0.239846 1.769753 0.6304546 0.5918353 1.432833 0.7061055
## row328 -0.308052 1.949341 0.5187984 0.7330903 2.018085 0.4340019
## row329 -0.301424 1.957914 0.5195162 0.6898855 1.980237 0.4386833
## row330 1.946793 1.437141 0.1579233 2.9573605 2.910980 0.3493485
## row331 1.958099 1.451918 0.1535872 2.8841746 2.839354 0.3665829
## row332 1.946886 1.419264 0.1700389 2.9765126 2.903954 0.3557684
## row333 1.980407 1.427205 0.1770278 2.7994170 2.673034 0.4268405
## row334 1.461141 0.851090 -0.1819659 1.0627155 2.406442 -0.8265983
## row335 1.451007 0.855877 -0.1914848 1.1086827 2.475491 -0.8462390
## row336 1.469395 0.843966 -0.1760525 1.0293112 2.343802 -0.8026264
## row337 -0.147541 -0.167209 -0.4150301 2.5724455 2.741482 0.7547385
## row338 1.792552 1.623741 0.2301589 3.4958319 4.386384 -0.4903564
## row339 -0.015490 0.293632 -0.5824203 2.6240212 0.228355 0.5171540
## row340 -0.407267 1.873114 0.5400081 1.3143235 2.690912 0.2312986
## row341 -0.408347 1.979027 0.4914379 1.2006476 2.766820 0.1521835
## row342 -1.348007 2.597996 -1.2341396 -0.0161740 0.572719 -0.5505773
## row343 -1.283227 2.147662 -1.1455709 -0.1505483 0.143241 -0.2846788
## row344 -1.248686 2.141617 -1.3081077 -0.5640479 0.066752 -0.2578121
## row345 -1.275462 2.344637 -1.1510600 -0.2536455 0.072705 -0.3263388
## row346 -1.257694 2.357696 -1.1797046 -0.3936232 -0.021840 -0.2994760
## row347 -1.216053 2.230313 -1.1263007 -0.5342086 -0.305459 -0.1840131
## row348 -1.385415 2.798493 -1.3702908 -0.0573675 0.933485 -0.7350440
## row349 -1.214266 2.019764 -1.0063253 -0.3005172 -0.436230 -0.0559799
## row350 -1.222606 1.980472 -1.0580627 -0.3163762 -0.326081 -0.0787986
## row351 -1.261378 2.194370 -1.1181337 -0.2473354 -0.031017 -0.2460004
## row352 -1.244564 2.283771 -1.1811069 -0.4464302 -0.101500 -0.2485489
## row353 -1.232405 2.159558 -1.0453866 -0.2933425 -0.293701 -0.1479765
## row354 -0.532408 -1.863705 -0.8734259 -0.7348196 0.075634 1.8761233
## row355 -0.669128 -0.948720 -0.9304491 -0.3630489 1.014730 1.2295158
## row356 -0.483190 -1.467342 -0.5328501 -0.6857089 -0.554160 1.9086384
## row357 -0.648678 -0.943356 -1.1586202 -0.8043088 1.109672 1.1883462
## row358 -0.547896 -1.598029 -1.0951363 -1.0850256 0.441111 1.6244387
## row359 -0.600251 -0.930080 -1.1865374 -1.1126683 0.810780 1.2799520
## row360 -0.558357 -1.649313 -1.2977583 -1.3020842 0.719779 1.5459504
## row361 -0.626717 -0.692947 -0.8412949 -0.5288470 0.597830 1.2899582
## row362 1.526804 0.007460 -0.1344730 -0.1889666 0.574866 1.1154173
## row363 1.465525 0.459507 0.0080361 0.3658864 0.583685 1.0852721
## row364 1.485528 0.449813 0.0190200 0.2764093 0.436896 1.1377158
## row365 1.495942 0.103948 0.2408248 0.6055288 0.220189 1.3078246
## row366 0.981510 -1.072237 -0.9132059 -2.0772009 0.712882 0.0269881
## row367 0.956763 -0.443033 -0.1893185 -1.0576500 0.045262 0.0756115
## row368 0.932444 -0.349040 -0.2576063 -1.0391410 0.253884 -0.0177952
## row369 1.004328 -0.976625 -1.5083310 -3.0232906 1.066666 -0.0909165
## row370 -0.669847 -1.285090 -1.1678561 -0.6071663 1.298260 1.2411146
## row371 1.743673 -1.172459 -3.7696062 -6.4786866 3.263126 0.3274225
## row372 -0.676932 -0.413804 -0.8426527 0.6468230 -0.599041 0.5561914
## row373 -0.715230 -0.411910 -0.6364409 1.2807978 -0.744179 0.7191506
## row374 -0.683162 -0.915721 -1.1982668 -0.6581869 1.345938 1.1197911
## row375 -1.041548 1.411597 0.4276548 -0.5107170 1.270466 0.5179962
## row376 -0.928986 0.967492 0.5712042 -0.8364871 0.473979 0.8965774
## row377 -0.959708 1.021004 0.5406564 -0.7275530 0.706444 0.8019087
## row378 -0.931492 1.071691 0.4642216 -1.0043286 0.587225 0.8219208
## row379 -0.929259 1.095313 0.5469526 -0.9037344 0.484536 0.8507963
## row380 1.539970 0.182140 -0.1621159 -0.4000550 0.571732 1.0139090
## row381 1.488287 0.381614 0.0598379 0.3381559 0.385096 1.1782305
## row382 1.506491 0.387538 0.0603773 0.2404796 0.257435 1.2199619
## row383 1.522225 -0.220897 -0.7966532 -0.8964978 1.074064 1.1367749
## row384 1.028474 -1.073241 -1.0546653 -2.5346630 0.538128 0.0806559
## row385 0.970086 -0.353809 -0.2364992 -1.2234870 -0.005075 0.0599367
## row386 0.957666 -0.333995 -0.2579193 -1.1824087 0.084105 0.0315743
## row387 0.991284 -1.091235 -1.9205133 -3.4991756 1.567560 -0.2191138
## row388 -0.721051 -1.246067 -1.5757994 -0.9119863 2.036523 0.9838146
## row389 -0.634439 -0.606568 -0.6950717 -0.3056103 0.498906 1.2942396
## row390 -0.665156 -1.330281 -1.3142156 -0.8278669 1.416893 1.2146119
## row391 -0.666509 -1.161189 -1.2590463 -0.7830420 1.344005 1.1879934
## row392 -0.699696 -0.860787 -0.7616015 0.0213428 1.039963 1.1973871
## row393 -0.659985 -0.848778 -1.0409736 -0.5900170 1.041094 1.1914791
## row394 -0.664502 -0.255625 -0.6870358 0.4626490 -0.417285 0.2000371
## row395 -0.672543 -0.435604 -0.8025510 0.8088100 -0.849473 0.7495446
## row396 -0.956369 1.017348 0.6590286 -0.5766816 0.566522 0.8512391
## row397 -0.965944 1.063732 0.5964758 -0.6260689 0.688277 0.7947615
## row398 -0.960444 1.094110 0.3647222 -0.9889571 0.871721 0.7237620
## row399 -0.950406 1.340618 0.3093555 -1.1843305 0.823212 0.6612227
## row400 -0.846018 0.922143 0.5381409 -1.3681047 0.018863 1.0216925
## row401 -0.953227 1.183449 0.4689607 -0.9030965 0.706739 0.7515159
## row402 -1.023962 1.114446 0.6279290 -0.6454725 0.920760 -0.5617604
## row403 -0.955776 0.594086 0.5774804 -0.9852700 0.627428 -0.3272252
## row404 -1.001876 0.587597 0.5669786 -0.7468453 0.949328 -0.4300953
## row405 -0.982198 1.073434 0.6273583 -0.8951962 0.692513 -0.5010431
## row406 -0.965673 0.994626 0.7010750 -0.8648735 0.525194 -0.4236799
## row407 -0.582267 -0.774987 0.0240138 0.3661490 -1.097205 -1.0205435
## row408 -0.650250 -0.748060 -0.4170215 0.9110722 -1.406810 -0.2573597
## row409 -0.654364 -0.959852 -0.3975930 -0.0870214 0.318664 0.1760394
## row410 1.595590 0.006897 0.3731765 -0.2176432 -0.504316 0.2068764
## row411 1.598129 -0.120700 0.4865112 -0.0437663 -0.607748 0.2784734
## row412 1.530128 -0.227726 0.5301295 0.4156926 -0.176526 0.1721310
## row413 1.548494 -0.123910 0.3099343 -0.0192490 -0.102329 0.1141434
## row414 1.050700 -0.966539 -0.9953075 -3.1321114 0.440838 -1.3251359
## row415 0.937513 -0.576911 0.0224102 -1.2054667 0.190754 -1.3757834
## row416 0.872185 -0.363776 -0.1636487 -1.1089397 0.698994 -1.5632116
## row417 0.932655 -0.911553 -1.0392401 -2.4277528 1.068854 -1.4327407
## row418 -0.728294 -1.218100 -0.6682895 -0.0063807 1.129059 -0.0156547
## row419 1.409178 0.059251 0.1996986 0.4341106 1.075145 -0.4168144
## row420 -0.667034 -1.230589 -0.5608203 -0.1820528 0.606730 0.1630470
## row421 -0.621646 -1.226365 -0.8230466 -0.8035805 0.561857 0.1702907
## row422 -0.637236 -1.403856 -0.3470161 -0.0001979 0.222365 0.3447491
## row423 -0.535590 -1.844935 -0.7744809 -1.0451758 0.018482 0.5447598
## row424 -0.458179 -1.842977 -0.6382857 -1.2777850 -0.634525 0.7570809
## row425 -0.592181 -0.805164 -0.2447250 0.8230630 -1.122497 0.0988712
## row426 -0.557644 -1.010180 -0.0781481 0.9453417 -1.524954 0.3167541
## row427 -0.554193 -1.204099 -0.0026171 -0.0179773 0.089753 0.7825847
## row428 -0.834607 0.692083 1.0746459 -0.9823500 0.121126 0.2558177
## row429 -0.828381 0.673003 1.1101088 -0.9614832 0.047117 0.2863846
## row430 -0.811285 0.749582 1.0264640 -1.1949629 0.007194 0.2717875
## row431 -0.815164 0.820469 0.8548048 -1.4313617 0.187893 0.1904420
## row432 -0.704255 0.484961 1.0416767 -1.7954595 -0.534847 0.4432092
## row433 -0.824532 0.786198 0.9973742 -1.1686618 0.113347 0.2289587
## row434 -0.882624 0.906265 0.7384464 -1.2067231 0.681328 0.0369533
## row435 -0.603412 -0.892665 -0.2393971 -0.1845874 0.642557 0.4826169
## row436 -0.604212 -1.305712 -0.2111333 -0.0401137 0.685859 0.5951049
## row437 -0.598984 -1.345971 -0.6691065 -0.7022969 1.102614 0.4676206
## row438 -0.589045 -1.062092 -0.2893180 -0.2922428 0.621577 0.5405630
## row439 -0.557285 -1.302674 -0.1884471 -0.2955127 0.392414 0.6642319
## row440 -0.672891 -1.051728 -0.2014922 0.2892956 1.094955 0.3867079
## row441 -0.582399 -1.460413 -0.5597283 -0.6323979 0.933967 0.5407284
## row442 -0.604124 -0.925146 -0.2560610 -0.1935086 0.664679 0.4874827
## row443 -0.657546 0.776580 1.0720232 -1.9772298 -1.076470 0.6160754
## row444 -0.865251 0.600649 1.1300933 -0.7183541 0.293200 0.2254356
## row445 -0.810275 0.729746 1.0291288 -1.1894533 -0.002715 0.2831719
## row446 -0.848336 0.839609 0.9464761 -1.1269948 0.320434 0.1415938
## row447 -0.736039 0.605744 1.0390554 -1.6385279 -0.361836 0.3638564
## row448 -0.511714 -1.039381 -0.0248055 0.1628964 -0.966789 -0.3730885
## row449 -0.512501 -0.957549 -0.2419761 0.4451964 -1.661996 0.3346592
## row450 1.652553 -0.173338 0.5604472 -0.2130132 -0.260737 0.6442077
## row451 1.644645 -0.146821 0.6824568 -0.0071335 -0.327002 0.6568729
## row452 1.647135 -0.107627 0.6591904 -0.0629265 -0.327359 0.6447983
## row453 1.672237 -0.666006 -0.5899773 -1.8079902 0.790593 0.4498573
## row454 1.115465 -0.812573 -0.0048319 -2.1245134 -0.200095 -0.6962703
## row455 1.130054 -0.573010 0.2304118 -1.9326226 -0.564109 -0.6495719
## row456 1.124559 -0.634084 0.2653163 -1.8374718 -0.553268 -0.6330290
## row457 1.121625 -0.767335 -0.1703590 -2.3930346 -0.100610 -0.7366913
## row458 -0.541774 -1.425302 -0.2422204 -0.4922926 0.458576 0.6237383
## row459 1.692252 -0.054629 0.1583681 -1.1400394 0.017980 0.4152108
## row460 -0.956023 1.073291 0.8284556 -0.7253886 1.069553 -0.1439737
## row461 -0.630856 -0.535181 -0.0113679 0.7648577 -0.339398 -0.6846417
## row462 -0.604513 -0.731562 -0.2099360 0.9316109 -1.100183 0.0780629
## row463 -0.892038 0.693151 0.9772152 -0.8077597 0.605329 0.0955801
## row464 -0.777514 0.611837 0.6329019 -1.9905715 0.321261 0.1306811
## row465 -0.880450 0.831888 0.9369395 -0.9630216 0.547004 0.0703243
## row466 -0.649448 -1.477929 -1.1677764 -1.1149745 1.977952 0.2020698
## row467 -0.584827 -1.352019 -0.4172020 -0.4706769 0.832381 0.5204948
## row468 -0.689783 -1.599068 -1.5519591 -1.4067002 2.645068 0.0172079
## row469 -0.666271 -1.312500 -0.6075902 -0.2889070 1.538806 0.2888830
## row470 -0.649378 -1.235572 -0.9697111 -0.9037859 1.757998 0.1947611
## row471 -0.591762 -1.381256 -0.3567225 -0.3474198 0.834843 0.5235599
## row472 -0.643007 -1.354175 -1.3131622 -1.3853505 2.057719 0.1361981
## row473 -0.636663 -1.706022 -2.1778710 -2.5691033 2.941524 -0.0683626
## row474 -0.909567 1.091129 0.8584155 -0.9393098 0.721736 -0.0343869
## row475 -0.909684 0.528766 1.0715138 -0.5286714 0.643116 0.1431316
## row476 -0.840366 0.905614 0.9526243 -1.1697906 0.238193 0.1550689
## row477 -0.867646 0.909683 0.9060531 -1.0876876 0.467256 0.0785415
## row478 -0.756486 0.736195 0.8526974 -1.8241784 -0.057850 0.2202052
## row479 -0.845311 0.877115 0.9590814 -1.1279694 0.271486 0.1520250
## row480 -0.532445 -0.650602 -0.0653418 0.1028846 -0.816864 -0.5594531
## row481 -0.535624 -0.758759 -0.1517564 0.6458004 -1.619423 0.2574264
## row482 1.579864 -0.151309 0.6208004 0.1593950 0.321553 0.3610234
## row483 1.508831 -0.236833 0.7637609 0.7651162 0.680034 0.2687797
## row484 1.449316 -0.224703 0.7283422 1.0514175 1.092490 0.1424815
## row485 1.496168 -0.136261 0.6441748 0.6875385 0.797573 0.2372778
## row486 1.017832 -0.462393 0.1782397 -1.4709418 0.300824 -1.0080450
## row487 1.010124 -0.515172 0.1805478 -1.3977879 0.336508 -0.9908373
## row488 1.015753 -0.597843 -0.0511089 -1.7195740 0.515745 -1.0139278
## row489 0.980847 -0.462610 0.1006070 -1.3042345 0.515531 -1.0162716
## row490 1.613835 -0.038712 0.3421644 -0.4695486 0.382714 0.2833259
## row491 -0.531418 -0.024512 1.1821586 -2.0350669 -1.247957 1.2152624
## row492 -0.347642 -1.636048 0.0116385 -0.0120039 -1.717240 0.5564538
## row493 -0.387484 -1.508780 -0.0010029 0.6303226 -2.162521 1.0616775
## row494 -0.244909 -2.209165 0.4487777 -0.4283709 -1.791679 2.1032836
## row495 -0.691033 0.887650 1.1185595 -0.4901697 -0.852645 1.2161639
## row496 -0.559696 0.727549 0.9932277 -1.4534193 -1.427523 1.3589361
## row497 -0.774962 1.069018 0.8500430 -0.4479101 -0.062764 0.9058567
## row498 -0.683256 1.052474 0.7484918 -1.1212732 -0.528351 1.0326775
## row499 1.714435 0.301088 0.2698123 0.0896436 -0.257208 1.1158922
## row500 1.630173 0.320043 0.5262721 0.8882233 0.083448 0.9872158
## row501 1.485306 0.094177 0.6251289 1.8637759 1.012502 0.7473439
## row502 1.575083 0.095597 0.4733688 1.1902333 0.510232 0.9342884
## row503 1.159591 -0.552641 -0.2340633 -1.5362734 -0.177622 -0.1222021
## row504 1.107547 -0.292703 0.0569529 -0.7748507 -0.347544 -0.0326969
## row505 1.072074 -0.213049 -0.0158175 -0.6833309 -0.079388 -0.1285351
## row506 1.089460 -1.140018 -2.1937080 -3.5805758 2.021386 -0.5214006
## row507 -0.727551 1.048704 0.6706531 -0.9572169 -0.199342 0.9519735
## row508 -0.661001 0.958675 0.1580556 -2.0155546 -0.139533 0.9580583
## row509 -0.821742 1.133201 0.7531191 -0.3493655 0.344070 0.7487301
## row510 -0.647409 1.011317 0.7147890 -1.4430396 -0.598272 0.9928511
## row511 -0.742826 1.120563 0.9501650 -0.5044038 -0.371128 0.9835652
## row512 1.699721 0.353991 -0.0985805 -0.4070666 0.261464 0.8882790
## row513 -0.367856 -0.240860 -0.8754947 -0.1611412 -2.045141 0.9252425
## row514 -0.808310 1.165817 0.8642440 -0.2710541 0.135169 0.8106357
## row515 -0.718398 1.165690 0.7436343 -1.0155369 -0.227648 0.8565347
## row516 -0.719207 1.025489 0.7207841 -0.9026225 -0.336536 1.0244670
## row517 -0.782684 1.149461 0.8946532 -0.3674177 -0.059755 0.8766547
## row518 -0.718582 1.089007 0.7585944 -0.9457507 -0.272222 0.9191854
## row519 -0.648785 0.928026 0.7283747 -1.3130810 -0.712922 1.1258489
## row520 -0.476923 -0.911114 -0.4276468 0.1388515 0.025562 1.4004583
## row521 -0.491648 -1.039990 -0.4935278 0.1565342 0.211457 1.3775553
## row522 -0.455423 -0.989106 -0.5055650 -0.0691510 -0.030940 1.4418674
## row523 -0.471251 -1.013467 -0.3254953 0.2805317 -0.102175 1.4778396
## row524 -0.467588 -1.111806 -0.4275992 0.1310468 0.002895 1.4644030
## row525 -0.725865 1.092746 0.9844862 -0.5450253 -0.509897 1.0349895
## row526 -0.723043 1.075380 0.9892571 -0.5510531 -0.528489 1.0450858
## row527 -0.728284 1.138312 0.9468042 -0.6017349 -0.455352 0.9979862
## row528 -0.295995 -0.678230 0.6984624 0.0907276 -1.496940 -0.5163607
## row529 -0.479790 -0.708669 -0.4313139 1.1812930 -1.639639 0.9351237
## row530 -0.422498 -0.920716 -0.3841376 -0.0916568 -0.386597 1.5405162
## row531 -0.729822 1.045054 0.8990103 -0.6239164 -0.404444 1.0212316
## row532 -0.703009 1.049062 0.8111017 -0.9385319 -0.434960 0.9922100
## row533 -0.806782 1.440526 0.7415894 -0.5065573 0.182916 0.7200313
## row534 -0.773464 1.254795 0.7084526 -0.7100940 0.050291 0.8025871
## row535 -0.774177 1.339752 0.6026411 -0.9436043 0.246095 0.6545000
## row536 -0.549371 -0.689480 -0.9121399 -0.2157018 0.973037 1.0069368
## row537 -0.533705 -1.000413 -2.1866782 -2.0295779 2.176634 0.6875350
## row538 -0.562091 -0.548461 -0.7333024 0.0622027 0.875085 0.9901442
## row539 -0.627157 -0.620095 -0.7276098 0.4523252 1.305049 0.8802693
## row540 -0.541842 -0.600858 -1.4304464 -1.0318527 1.450319 0.7984397
## row541 -0.560523 -0.379899 -0.9833916 -0.3715046 1.130065 0.8256685
## row542 -0.565793 -0.542770 -0.8406292 -0.0802721 1.019224 0.9316578
## row543 -0.825842 1.528061 0.4957076 -0.8118361 0.600204 0.5193175
## row544 1.434529 0.417638 0.1657081 1.4220548 1.742678 0.4110217
## row545 -0.371686 -0.427679 0.2629755 0.4246289 -1.487558 -0.0994911
## row546 -0.485388 -0.480347 -0.3501950 1.2850844 -1.739014 0.9108265
## row547 -0.420400 -0.632441 -0.3775478 -0.1714714 -0.441529 1.4639170
## row548 -0.771682 1.307511 0.5329393 -0.9820446 0.204916 0.7321670
## row549 -0.813166 1.412522 0.7259955 -0.5140379 0.286126 0.6719089
## row550 -0.803750 1.403983 0.7721250 -0.4981407 0.178538 0.7102941
## row551 1.612422 0.744307 -0.0491576 0.1840436 0.531038 0.7997576
## row552 1.571215 0.783738 0.1544182 0.6801647 0.612163 0.7587562
## row553 1.558802 0.749427 0.1745532 0.7799760 0.688462 0.7407511
## row554 1.575453 0.550977 -0.1147202 0.3224127 0.901818 0.7222065
## row555 1.063197 -0.091620 -0.3400227 -1.2616228 0.487912 -0.4727594
## row556 1.076765 0.131406 -0.1170894 -1.1008864 0.180340 -0.4592624
## row557 1.064283 0.097434 -0.1124383 -0.9992165 0.237356 -0.4515717
## row558 1.113676 -1.088068 -2.6277651 -4.4579238 2.455247 -0.7859239
## row559 -0.906633 1.391296 0.6436109 -0.1091719 0.991563 0.4525652
## row560 -0.779782 1.559178 0.6126726 -0.9255145 0.199491 0.6252011
## row561 -0.812630 1.296049 0.7523599 -0.4209969 0.229671 0.7519590
## row562 -0.840489 1.256293 0.6838578 -0.3774059 0.522962 0.6495981
## row563 -0.778476 1.350516 0.6175511 -0.8750667 0.218982 0.6827210
## row564 -0.466404 -0.466659 -0.4619011 0.9414632 -1.641555 0.8066630
## row565 -0.484586 -0.335953 -0.3814436 1.1188658 -1.613394 0.7556419
## row566 -0.484122 -0.586486 -0.3726269 0.1745638 -0.027937 1.3174266
## row567 -0.339787 0.287915 1.8298392 0.0515434 1.242988 1.6864471
## row568 -1.135316 1.875266 -0.3008907 -0.5175056 -1.189577 1.1742518
## row569 -1.158587 2.011446 -0.2838500 -0.4054925 -1.062201 1.0863822
## row570 -1.184678 2.099112 -0.4476683 -0.5135533 -0.742367 0.9548416
## row571 -1.112081 1.967801 -0.2767899 -0.6431642 -1.369023 1.1959538
## row572 -0.920211 0.753937 -1.2031631 1.1848918 -1.601337 0.0056916
## row573 -0.973586 0.766014 -1.4441820 1.1554417 -1.040055 -0.1653215
## row574 -0.868892 0.388873 -1.4979988 0.2453169 -1.060180 1.5139162
## row575 -1.205416 1.927785 -0.2120713 -0.0296116 -0.801913 1.0271703
## row576 -1.183009 2.011112 -0.2545351 -0.2338406 -0.921768 1.0385985
## row577 -1.170434 2.212602 -0.4038756 -0.5645705 -0.888176 0.9618964
## row578 -1.205381 2.306478 -0.4832704 -0.5075137 -0.591325 0.8364388
## row579 -1.100185 2.236102 -0.4555305 -1.0596527 -1.265260 1.0488007
## row580 1.479553 -0.160220 0.5475419 0.3119793 0.614311 2.1420995
## row581 1.196184 0.373982 0.5141423 1.7534973 2.364871 1.4691922
## row582 1.434914 0.203945 0.6840818 0.7449600 0.596360 2.1103584
## row583 1.440830 -0.198519 -0.3059179 -0.5585609 1.550925 1.9322107
## row584 0.935808 -0.894025 -1.1289003 -2.9830535 1.639623 0.6062412
## row585 0.896435 -0.091106 0.1180606 -1.2023747 0.551046 0.7339058
## row586 0.869499 -0.126332 0.1291055 -1.0280698 0.722605 0.6916564
## row587 0.861538 -0.380841 -0.6626816 -2.0254591 1.572476 0.4939065
## row588 1.587206 0.541245 0.5124379 -0.8032326 0.270801 1.7794484
## row589 -0.974726 1.027860 1.1444847 -0.6229070 0.678638 1.7389539
## row590 -0.961178 1.086969 1.1271678 -0.7368435 0.596763 1.7462706
## row591 -0.920959 1.151416 1.1299365 -0.9678644 0.312451 1.8193318
## row592 -0.958344 1.192738 1.0038862 -0.9524707 0.682733 1.6837706
## row593 -0.949467 1.162285 1.0595173 -0.9213083 0.582475 1.7212005
## row594 -0.971636 1.118880 1.1301851 -0.6851658 0.662047 1.7137068
## row595 -0.687961 -0.353708 -0.0298552 0.5159287 -0.128512 0.8997504
## row596 -0.645495 -0.585240 -0.0335182 -0.1395928 0.377873 2.2622884
## row597 -0.620167 -0.783628 0.0603534 -0.1045012 0.157369 2.3898627
## row598 -0.560038 -0.677508 -0.0053851 -0.5540182 -0.195901 2.4690841
## row599 -0.658101 -0.504418 -0.2413228 -0.3953388 0.671515 2.1291995
## row600 -0.608023 -0.639243 -0.1516851 -0.5075137 0.264551 2.3057448
## row601 -0.677180 -0.515633 -0.2964774 -0.3662433 0.855918 2.0718905
## row602 -0.618914 -0.390265 -0.1845540 -0.5581411 0.335518 2.2033632
## row603 -0.371970 -1.512728 0.6732321 0.6984301 -3.708871 2.9634724
## row604 1.439345 -0.327061 1.2684377 1.4418183 0.423391 2.1412393
## row605 1.508673 -0.202730 0.9652134 0.8232383 -0.090475 2.4498664
## row606 1.526146 0.035811 0.8224138 0.4722627 -0.111523 2.3849917
## row607 1.504178 -0.040697 0.4752860 0.1123008 0.402429 2.2288974
## row608 1.001631 -0.532120 -0.4461240 -2.4739937 0.478864 0.8770037
## row609 0.988248 -0.685728 -0.7640322 -2.7860041 0.866542 0.8153788
## row610 0.962273 -0.166479 0.1821362 -1.4490105 0.050494 0.9241062
## row611 0.980173 -0.358034 -0.5169867 -2.4780440 0.633978 0.7901004
## row612 1.688009 0.650491 0.7209274 -0.9970545 -0.762770 2.1601749
## row613 -0.917644 1.248188 1.0976876 -1.0175252 0.250617 1.8409886
## row614 -0.637304 -0.280910 0.2802539 0.6526797 -0.776035 1.0870171
## row615 -0.826799 0.854401 1.3184531 -1.1373676 -0.469433 2.1725435
## row616 -0.854474 0.824379 1.2996875 -1.0072312 -0.257173 2.1109221
## row617 -0.866467 1.084688 1.1103902 -1.2755560 -0.026603 1.9507116
## row618 -0.891604 1.221980 1.0397863 -1.2707649 0.189494 1.8378950
## row619 -0.781567 1.066922 1.2055660 -1.6296779 -0.645610 2.1341849
## row620 -0.860649 1.123500 1.1201513 -1.3004324 -0.085323 1.9602301
## row621 -0.878396 0.782579 1.2468479 -0.9424365 -0.035420 2.0496335
## row622 -0.862824 0.996440 1.2049430 -1.1436757 -0.125411 2.0085856
## row623 -0.867647 1.161919 1.1279393 -1.2663184 -0.043361 1.9301043
## row624 -0.866545 1.127377 1.1534735 -1.2339537 -0.061374 1.9417928
## row625 -0.690624 -0.931920 0.8511465 1.2265429 -0.527541 -0.3162297
## row626 -0.659428 -1.078368 0.2602226 1.1542415 -1.470098 0.7826192
## row627 -0.557675 -0.839001 0.7148044 0.4256615 -1.512500 0.0917595
## row628 -0.556244 -0.875463 0.2830352 0.5901466 -2.244103 0.9864357
## row629 1.622757 -0.548007 1.2614005 0.0801941 -0.836188 1.3222491
## row630 1.530742 -0.408787 1.2533765 0.5455294 -0.242658 1.0933956
## row631 1.399932 -0.508146 1.2685287 1.3120942 0.629122 0.8462699
## row632 1.503619 -0.189231 1.0278969 0.3886299 0.027521 0.9912695
## row633 1.023435 -0.805964 0.4438869 -1.8259628 -0.339176 -0.1840741
## row634 1.015837 -0.599209 0.5635587 -1.6273720 -0.495655 -0.1622000
## row635 0.972589 -0.672005 0.5297576 -1.3219665 -0.307618 -0.1178172
## row636 1.006481 -0.873568 -0.0765825 -2.2738139 0.032196 -0.1419068
## row637 1.701181 0.216406 1.1180219 -0.7852064 -1.271495 1.1865541
## row638 -0.910456 0.819801 1.3948126 -0.9260309 -0.104745 0.8053773
## row639 -0.622925 -1.240346 -0.0702189 -0.5630647 0.305067 1.1865970
## row640 -0.602579 -1.709098 0.0937879 -0.3118079 0.055877 1.4276730
## row641 -0.657515 -1.594639 -0.5622979 -0.9715189 1.061149 1.0511545
## row642 -0.528171 -1.890769 0.0647844 -0.7108592 -0.393984 1.6324461
## row643 -0.547343 -1.334874 -0.0680040 -0.9513283 -0.188710 1.3746712
## row644 -0.577260 -1.673361 -0.0959195 -0.7253836 0.064438 1.4120870
## row645 -0.565995 -1.681104 -0.4629865 -1.3020018 0.348844 1.3174601
## row646 -0.821008 0.558823 1.5643366 -1.1541477 -0.769231 1.0679645
## row647 -0.794745 0.501770 1.5598704 -1.2927491 -0.928569 1.1348176
## row648 -0.845180 0.741162 1.3533110 -1.3682339 -0.422119 0.8929200
## row649 -0.667834 0.653009 1.4888966 -2.1504462 -1.696106 1.3136167
## row650 -0.859968 0.577289 1.3478319 -1.2436700 -0.308651 0.9159430
## row651 -0.716678 0.445604 1.7905009 -1.3795530 -0.878586 1.5916882
## row652 -0.733564 0.516501 1.7496095 -1.3618175 -0.736617 1.5236476
## row653 -0.726584 0.612462 1.7325354 -1.4495894 -0.778719 1.5058549
## row654 -0.740543 0.669096 1.6545705 -1.4952835 -0.619877 1.4373293
## row655 -0.641854 0.621009 1.6496312 -2.0575863 -1.230137 1.6266269
## row656 -0.453620 -1.082985 0.5638224 0.4694511 -2.373827 1.5425319
## row657 -0.418558 -0.981256 1.0839689 0.1104564 -1.829984 0.6024075
## row658 -0.424108 -1.095710 0.5461486 0.2802704 -2.543998 1.5962723
## row659 1.760373 -0.153059 1.3147787 -0.6905888 -1.086031 1.7368717
## row660 1.746354 -0.339654 1.4614550 -0.3734993 -1.088558 1.7869462
## row661 1.715314 -0.326325 1.4402604 -0.2321124 -0.868316 1.7152120
## row662 1.679107 -0.573241 1.1221154 -0.4249254 -0.270503 1.5903596
## row663 1.080392 -1.299129 0.9484177 -1.4403715 -0.144721 0.2490460
## row664 1.180714 -1.012351 1.1435545 -1.7704088 -1.075494 0.4770273
## row665 1.080320 -1.161532 1.1929556 -1.1006507 -0.447493 0.3323518
## row666 1.151158 -1.052579 0.9983471 -1.7748215 -0.771160 0.4130065
## row667 1.797439 -0.133323 1.2686059 -1.0667557 -1.138702 1.6596921
## row668 -0.477508 -1.199715 0.5033334 -0.5515291 -0.459223 1.8884428
## row669 -0.513403 -1.517193 -0.1346963 -1.1772130 0.457256 1.6794876
## row670 -0.546432 -1.308880 0.2277794 -0.5368280 0.291943 1.6741290
## row671 -0.533112 -1.645362 -0.5101715 -1.5577713 0.963416 1.5574976
## row672 -0.450942 -1.651812 0.2322134 -0.9603033 -0.313639 1.9829674
## row673 -0.797627 0.365379 1.8765587 -0.7927274 -0.411003 1.4687290
## row674 -0.789196 0.320149 1.8577546 -0.8576190 -0.437202 1.4880029
## row675 -0.757114 0.566359 1.7347900 -1.2672640 -0.569856 1.4531209
## row676 -0.787926 0.621799 1.7081618 -1.1527081 -0.341033 1.3591590
## row677 -0.663660 0.516687 1.6936628 -1.8467306 -1.116395 1.6258122
## row678 -0.759937 0.590936 1.6990138 -1.3075522 -0.520720 1.4297447
## row679 -0.468555 -1.081853 0.6401263 -0.0993717 -1.218818 0.5284147
## row680 -0.500961 -1.025490 0.4980878 0.6210982 -1.999354 1.4021433
## row681 -0.823705 0.303373 1.8362445 -0.6926832 -0.185144 1.4132147
## row682 -0.744552 0.504865 1.7591012 -1.2839801 -0.672499 1.5078614
## row683 -0.757992 0.596353 1.7002766 -1.3129864 -0.542946 1.4393135
## row684 -0.764023 0.638570 1.6641619 -1.3428927 -0.471140 1.4011705
## row685 -0.754258 0.662415 1.5938703 -1.5070280 -0.462953 1.3852716
## row686 -0.749956 0.570348 1.7205970 -1.3267764 -0.605596 1.4637920
## row687 -0.514158 -0.969616 0.9227840 0.5550501 -1.257508 0.5393469
## row688 -0.566539 -0.976392 0.5186319 0.9927676 -1.580470 1.2483160
## row689 1.656063 -0.049011 0.6250824 -1.0241894 0.135267 1.3783759
## row690 1.638118 0.184819 1.0522808 -0.4034197 -0.165887 1.3914420
## row691 1.647238 0.088863 1.1177295 -0.3436109 -0.267353 1.4496077
## row692 1.636079 0.140599 1.1269350 -0.3006746 -0.181993 1.3906372
## row693 1.093826 -0.572486 0.3736873 -2.4726296 0.171401 -0.0600830
## row694 1.061998 -0.359664 0.7160835 -1.8972963 0.060322 -0.1092661
## row695 1.032093 -0.434673 0.7492158 -1.6639729 0.233542 -0.1379041
## row696 1.065108 -0.493162 0.7004915 -1.8710567 0.026969 -0.0301726
## row697 1.638307 -0.060082 1.3548396 -0.1140150 -0.133345 1.2947672
## row698 -0.803873 -0.550997 -0.6519763 -0.5989363 2.832726 0.5678852
## row699 -0.601491 -1.124598 0.0868350 -0.5114066 0.819025 1.4177438
## row700 -0.798171 -0.563093 -0.5118192 -0.4276572 2.656055 0.6325005
## row701 -0.763457 -0.710271 -0.5318832 -0.6136768 2.471122 0.7340240
## row702 -0.638074 -1.031192 0.2094771 -0.1837559 0.963647 1.3249995
## row703 -0.568860 -1.391679 -0.7391008 -1.8052973 1.475341 1.2611920
## row704 -0.919751 1.087487 1.3790410 -0.9713323 0.737906 0.8942288
## row705 -0.869920 0.455310 1.2628244 -1.2803980 0.656272 1.0899024
## row706 -0.869525 0.942915 1.4284398 -1.1735185 0.422878 1.0139199
## row707 -0.884653 0.910061 1.2706967 -1.2999106 0.676547 0.9439200
## row708 -0.841230 1.190249 1.1948229 -1.7361510 0.449967 0.9105808
## row709 1.734149 0.150684 0.4206845 -0.5281165 -0.150793 2.1083081
## row710 1.604659 0.323595 1.0126845 0.9594222 0.131681 1.9613791
## row711 1.592480 0.343889 0.9852228 0.9994781 0.211766 1.9432807
## row712 1.629509 -0.298055 -0.4549911 -1.0018074 1.363545 1.8091930
## row713 1.097932 -0.169530 0.1081085 -1.5256697 0.139200 0.6783955
## row714 1.094712 -0.040428 0.4463029 -1.0484451 -0.212283 0.7697684
## row715 1.138567 -0.295737 -0.0558431 -1.9089707 -0.011978 0.7968686
## row716 1.130440 -0.215585 0.0722293 -1.6969651 -0.105242 0.8099393
## row717 1.648249 -0.231524 0.0057785 -0.7679269 1.218176 1.5915545
## row718 -0.770393 1.370338 1.3336614 -0.7055051 -0.130060 1.7520599
## row719 1.543050 0.413612 0.7490936 1.0106611 0.629265 1.8599198
## row720 1.600508 0.446397 0.8480339 0.8554491 0.099850 2.0461439
## row721 1.614801 0.483045 0.8315043 0.7430749 0.017142 2.0598178
## row722 1.649043 0.085971 0.1801586 -0.2451125 0.457251 2.0466867
## row723 1.136061 -0.535543 0.4828715 -1.0652189 -0.503505 1.0476469
## row724 1.155431 -0.247640 0.5672209 -1.1209600 -0.763867 1.0463207
## row725 1.156511 -0.228118 0.5505888 -1.1473313 -0.769440 1.0484531
## row726 1.167206 -0.354585 0.1327263 -1.7541701 -0.426627 0.9783983
## row727 1.700915 -0.474421 -2.0395150 -3.8614896 2.879313 1.1137018
## row728 -0.768921 1.191851 1.4016482 -0.5825376 -0.166086 1.8123264
## row729 -0.459698 -0.515074 0.2411955 0.0558821 -0.331919 2.3192904
## row730 -0.441304 -0.630122 0.3275523 0.1071137 -0.525162 2.4201191
## row731 -0.458236 -0.407258 0.2341008 1.0795762 -1.988138 1.8687212
## row732 -0.726344 1.203601 1.4715769 -0.7096882 -0.537572 1.9385619
## row733 -0.715991 1.183061 1.4894226 -0.7323422 -0.627088 1.9773295
## row734 -0.782032 1.139584 1.4662240 -0.3917156 -0.155888 1.8389317
## row735 -0.819313 1.362607 1.2585418 -0.5713803 0.317457 1.5834684
## row736 -0.739254 1.310667 1.3961447 -0.7695683 -0.396609 1.8606570
## row737 -0.747649 1.293695 1.3891871 -0.7300160 -0.329660 1.8434766
## row738 -0.802906 1.392822 1.2487608 -0.6555647 0.172202 1.6437135
## row739 -0.842440 1.572648 1.1390913 -0.6632800 0.555145 1.4414269
## row740 -0.437848 -0.185499 1.1550940 0.6999084 -0.808273 0.1532772
## row741 -0.464705 -0.265557 0.1837296 1.0430117 -1.967671 1.8463801
## row742 -0.452356 -0.496204 0.2534937 0.0312265 -0.400419 2.3382236
## row743 -0.669427 -1.064167 -0.2270298 0.1360110 0.410978 0.9144518
## row744 -0.762483 -1.919591 0.0890875 1.3028978 0.855586 1.0401120
## row745 -0.709368 -1.118607 -0.3948318 0.1327574 0.850129 0.7877317
## row746 -0.819525 -1.684336 -0.0617943 1.3453338 1.349119 0.8064082
## row747 -0.707609 -1.391860 -0.8370893 -0.4284810 1.306949 0.7213903
## row748 -0.759865 -1.208095 -0.4130189 0.4016814 1.226564 0.6900041
## row749 -0.746839 -1.461847 -0.0787144 0.8683397 0.844164 0.9004888
## row750 -1.066476 0.900828 0.7569292 -0.2972387 1.245077 0.1402732
## row751 -0.946034 0.581753 0.9900784 -0.5840857 0.308714 0.5155185
## row752 -0.969041 0.665168 0.9498961 -0.5403942 0.497318 0.4239204
## row753 -0.958185 0.642887 0.9763750 -0.5724999 0.424990 0.4414661
## row754 -0.957330 0.658314 0.9393784 -0.6064826 0.413404 0.4624573
## row755 1.540701 -0.062219 -0.4802775 -1.1221104 0.694548 0.6514344
## row756 1.415682 0.285604 0.2719516 0.5608966 0.707730 0.5715383
## row757 1.431315 0.270215 0.2839196 0.4997765 0.587751 0.6184706
## row758 1.426655 -0.258596 -0.3500835 -0.2439171 1.330081 0.5270179
## row759 0.912429 -0.689736 -0.4269732 -1.6080448 0.673999 -0.6085748
## row760 0.894979 -0.489389 0.0118655 -0.9460493 0.334503 -0.5562918
## row761 0.916542 -0.496892 0.0167348 -1.0451237 0.170816 -0.4922938
## row762 0.932426 -1.002015 -1.0576271 -2.5057654 1.170189 -0.6621091
## row763 1.604470 0.543418 0.5552757 -0.5112077 -0.318821 0.5113279
## row764 -0.664353 -0.915368 -0.3819300 0.8399344 -1.009380 0.3037310
## row765 -0.643467 -1.126373 -0.2837943 -0.0764482 0.310276 0.9605532
## row766 -0.726762 -0.676697 0.9104442 1.1068134 0.845897 -1.9057000
## row767 -0.707182 -1.007544 -0.1809057 1.4779655 -1.049985 0.4308189
## row768 -0.669528 -1.159913 -0.2710845 0.0935111 0.476296 0.9183391
## row769 -1.018998 1.071734 0.7162189 -0.6569584 0.940443 0.1852098
## row770 -0.907782 0.409968 1.1339158 -0.5444884 -0.068556 0.6959617
## row771 -0.897906 0.604296 1.0256758 -0.8026677 -0.053159 0.6263438
## row772 -0.928296 0.755999 0.9025434 -0.8395318 0.236778 0.4904908
## row773 -0.921271 0.801673 0.8857093 -0.9234826 0.214770 0.4743753
## row774 -1.041964 1.074807 0.6997811 -0.5550368 1.110085 0.1292662
## row775 -0.641876 -1.627716 -0.2087504 0.1479860 0.297248 1.1237148
## row776 -0.731455 -0.721395 -0.5535342 -0.0855101 1.119234 0.5609615
## row777 -0.779983 -1.687141 -0.4077146 0.6349456 1.433475 0.7688618
## row778 -0.720599 -0.690915 -0.5730289 -0.1797354 1.060485 0.5704316
## row779 -0.701610 -0.842685 -0.7830758 -0.5450020 1.166019 0.5777143
## row780 -0.762414 -1.145154 -0.7801573 -0.1235240 1.602937 0.5381751
## row781 -0.795480 -1.041244 -0.5706943 0.3243280 1.607951 0.5052822
## row782 -0.914445 0.580832 1.0252183 -0.7000696 0.051626 0.6055425
## row783 -0.950583 0.431168 1.1252682 -0.3340340 0.233635 0.5861279
## row784 -0.907138 0.689938 0.9920755 -0.8228318 0.031963 0.5700090
## row785 -0.919064 0.793216 0.9029397 -0.9014960 0.172888 0.4973012
## row786 -0.940558 0.771371 0.8999477 -0.8115329 0.366509 0.4169507
## row787 -0.923463 0.749332 0.9284163 -0.8388664 0.196376 0.4966997
## row788 -0.697333 -0.978275 -0.5710484 0.8131247 -0.658147 0.2437109
## row789 -0.881398 0.715330 1.1417215 -0.7138674 0.435178 0.9231661
## row790 -0.567200 -1.240339 0.0230907 -0.0317950 0.306679 1.4536103
## row791 -0.578004 -1.471659 0.0670630 0.1442562 0.374701 1.5018432
## row792 -0.633511 -1.639226 0.1362719 0.5900176 0.700724 1.4517066
## row793 -0.591750 -1.389641 -0.0995664 -0.0332163 0.614176 1.3986108
## row794 -0.608620 -1.395927 0.1670742 0.4350271 0.469368 1.4501089
## row795 -0.582091 -1.446637 -0.1928089 -0.2029723 0.648670 1.4040612
## row796 -0.576686 -1.559268 0.2106145 0.3644078 0.233519 1.5795683
## row797 -0.592814 -1.319397 -0.1462866 -0.0411844 0.552920 1.4547714
## row798 -0.649055 -1.667889 0.3099454 0.9263119 0.640299 1.4821286
## row799 -0.797529 0.261425 1.4572052 -0.6579681 -0.305560 1.2722497
## row800 -0.802941 0.404097 1.3444789 -0.8311602 -0.167574 1.1745232
## row801 -0.786658 0.440172 1.2694809 -1.0281589 -0.219001 1.1846126
## row802 -0.731045 0.503908 1.3009705 -1.3466701 -0.569300 1.2425254
## row803 1.657297 -0.332400 0.4448083 -0.6391892 0.212300 1.1444123
## row804 1.558311 -0.227493 0.8687398 0.6445516 0.191782 1.2690784
## row805 1.512802 -0.304280 0.8732734 0.9611867 0.441786 1.2476884
## row806 1.563949 -0.514995 0.7397700 0.5884811 0.196591 1.4268021
## row807 1.028111 -0.710245 -0.0829469 -1.7797852 0.399668 -0.0815740
## row808 0.988439 -0.598232 0.2905828 -1.0556479 0.270839 -0.0620308
## row809 0.989495 -0.632479 0.3011327 -1.0217665 0.234301 -0.0256609
## row810 1.685621 -0.349848 1.0447588 -0.1264917 -0.291458 1.1674797
## row811 -0.632312 -0.900982 1.1130286 0.8304226 0.990883 -1.5142889
## row812 -0.565204 -1.113138 0.0792719 1.0988830 -1.456096 1.0540455
## row813 -0.559037 -1.321740 0.0694790 0.0091368 0.218639 1.5080224
## row814 -0.913590 0.257543 1.4097021 -0.4413619 0.378368 -0.2009757
## row815 -0.534651 -1.543120 0.0833505 0.5745751 -1.568819 -0.1275990
## row816 -0.740471 0.002082 1.6216457 -1.0822912 -0.870618 0.2383757
## row817 -0.791840 0.006175 1.6005693 -0.8308045 -0.507163 0.1201054
## row818 -0.838742 0.016062 1.5816471 -0.6084430 -0.167352 0.0024152
## row819 -0.844204 0.112106 1.5049601 -0.7034673 -0.080462 -0.0506599
## row820 -0.782742 0.135982 1.5052918 -1.0479903 -0.493179 0.0732059
## row821 -0.562731 -1.613176 0.1708366 -0.1618350 0.125561 0.3319838
## row822 -0.529597 -2.593436 -1.1033175 -1.8695003 1.259954 0.2721206
## row823 -0.617646 -1.597813 -0.0449223 -0.1685912 0.702534 0.1378844
## row824 -0.570087 -2.059623 0.0087219 -0.2280147 0.384313 0.3937333
## row825 -0.551302 -1.708747 -0.0020483 -0.4436456 0.231551 0.3253414
## row826 -0.582351 -1.997784 0.0756618 -0.0852169 0.396732 0.3687293
## row827 -0.868952 0.326338 1.4083180 -0.7045075 0.069293 -0.1221640
## row828 -0.570581 -1.198675 1.5205469 0.7796858 0.091965 -2.3848790
## row829 -0.526591 -1.518793 0.3354538 0.9416669 -1.965907 0.0494454
## row830 -0.815619 -0.306406 1.7548849 -0.4087149 -0.446868 0.1970857
## row831 -0.774035 -0.024122 1.5808270 -0.9497442 -0.601081 0.1585876
## row832 -0.797341 0.042933 1.5465983 -0.8791496 -0.432929 0.0896047
## row833 -0.702210 0.213792 1.5276170 -1.5741074 -0.922267 0.1057321
## row834 1.723744 -0.266213 0.9188574 -0.7374960 -0.800734 0.1776339
## row835 1.724296 -0.315263 1.0716541 -0.4786351 -0.997941 0.2879527
## row836 1.724545 -0.278940 1.0472134 -0.5197411 -0.986691 0.2758456
## row837 1.644841 -0.396083 1.0065076 -0.1647851 -0.314898 0.0493803
## row838 1.103767 -1.036391 0.5619720 -1.8475730 -0.399960 -1.2109997
## row839 1.035814 -1.075173 0.7032671 -1.1548644 -0.243151 -1.1528418
## row840 1.073982 -1.418478 -0.1491801 -2.3676540 0.219877 -1.1137596
## row841 1.740938 -0.090981 0.9622230 -0.9229816 -0.822607 0.0388125
## row842 -0.887846 0.458543 1.3103047 -0.7727337 0.273287 -0.2311459
## row843 -0.839850 -0.080127 1.6178493 -0.5138815 -0.201159 0.0552018
## row844 -0.796732 0.202539 1.4861611 -1.0047764 -0.405599 0.0325320
## row845 -0.529511 -0.868571 0.1806069 1.3456746 -2.166598 0.1370968
## row846 -0.599276 -1.226007 0.4480787 1.2034537 -0.386446 0.6953594
## row847 -0.576540 -0.819957 0.1226194 0.5087418 -0.265428 0.5164616
## row848 -0.585538 -1.103911 0.3402322 0.9870601 -0.452717 0.7121500
## row849 -0.609778 -0.948558 0.1090433 0.7065286 -0.014122 0.4774209
## row850 -0.564700 -0.817740 0.1318768 0.4636762 -0.365127 0.5542868
## row851 -0.587572 -1.134743 0.3642541 0.9942574 -0.390216 0.6633896
## row852 -0.709286 -1.354325 0.4873388 1.8893236 0.338341 0.4983317
## row853 -0.604741 -0.914556 0.0684948 0.6132728 -0.013204 0.4659060
## row854 -0.569257 -0.926650 0.2533564 0.6882860 -0.439243 0.6150095
## row855 -0.603615 -0.694248 1.7603697 1.6893718 0.103843 -2.5278661
## row856 -0.555374 -0.745664 0.2911556 1.5778138 -2.067977 0.0393605
## row857 -0.685980 0.381178 1.4574449 -0.4284419 -1.089244 0.9054641
## row858 -0.558072 0.645167 1.2924004 -1.4670210 -1.766163 1.0060499
## row859 1.853092 0.069141 0.9570732 -0.1469414 -1.788718 1.1526883
## row860 1.697404 -0.078715 0.9977072 0.7403238 -0.672993 0.7883912
## row861 1.643284 -0.096263 1.0110856 1.0287769 -0.273827 0.6386878
## row862 1.664850 -0.257228 0.7564102 0.6163355 -0.181563 0.6757657
## row863 1.176121 -0.681337 0.2085609 -1.5540819 -0.546756 -0.5640851
## row864 1.162560 -0.599509 0.4624618 -0.9623533 -0.985010 -0.2916388
## row865 1.132121 -0.674391 0.4659465 -0.7228498 -0.846358 -0.2714336
## row866 1.159065 -0.955028 -0.2574586 -1.8022706 -0.303121 -0.3556781
## row867 -0.660551 0.326612 1.2335642 -0.8731644 -1.027176 0.8959858
## row868 -0.691152 0.248411 1.4019618 -0.4488261 -0.974998 0.9059070
## row869 -0.658205 0.631578 1.2892509 -0.9147070 -1.096498 0.7980829
## row870 -0.653019 0.320737 1.5374358 -0.4475235 -1.429908 1.0639918
## row871 -0.668861 0.256137 1.5316828 -0.3895100 -1.253559 0.9958896
## row872 -0.648239 0.222237 1.5893001 -0.4165095 -1.437795 1.0636709
## row873 -0.630967 0.289656 1.5758251 -0.5460469 -1.551818 1.0800760
## row874 -0.608216 0.424643 1.4936062 -0.8186483 -1.646354 1.0687215
## row875 -0.650968 0.271162 1.5540688 -0.4618465 -1.394600 1.0353071
## row876 -0.364793 -1.272162 2.4007835 0.9492450 -0.248489 -2.5724527
## row877 -0.350333 -1.357186 0.4493892 0.9634877 -2.628513 0.5834147
## row878 -0.308591 -1.450501 0.4010173 -0.0537142 -1.694336 1.5370281
## row879 -0.639064 0.429978 1.4655244 -0.6989971 -1.400139 0.9799951
## row880 -0.519386 -1.633398 -0.0726943 0.5138781 0.159101 1.0176867
## row881 -0.484272 -1.315535 0.1626776 0.5714414 -0.350588 1.0849314
## row882 -0.489742 -1.666941 -0.0463383 0.4004685 -0.065758 1.1040595
## row883 -0.479919 -1.398675 0.1696074 0.5809819 -0.378507 1.1223380
## row884 -0.504518 -1.650422 -0.0590586 0.4560867 0.048259 1.0591372
## row885 -0.448687 -1.460929 0.2260036 0.5096856 -0.641127 1.2313997
## row886 -0.537166 -1.470452 -0.0668515 0.5745073 0.254897 0.9325035
## row887 -0.535489 -1.548235 -0.0865842 0.5590932 0.271316 0.9529207
## row888 -0.677663 0.559685 1.3906393 -0.5817904 -1.152208 0.8954511
## row889 -0.714948 0.671998 1.3125786 -0.5859279 -0.737459 0.6658299
## row890 -0.374695 -1.061993 0.2345886 1.0337852 -2.765477 0.7979023
## row891 -0.728648 0.354310 1.4036920 -0.2735301 -0.731772 0.7892867
## row892 -0.691689 0.617460 1.2477694 -0.7526788 -0.879133 0.7600636
## row893 -0.675435 0.833058 1.1906937 -1.0209482 -0.897271 0.6599074
## row894 -0.710140 0.835151 1.1574310 -0.8716771 -0.641951 0.5818600
## row895 1.774800 -0.040287 0.7699677 0.0866427 -1.125174 1.0043950
## row896 1.668354 -0.076846 0.8455159 0.9015420 -0.652833 0.9628194
## row897 1.654665 0.049533 0.7430025 0.8331360 -0.527990 0.9092752
## row898 1.715612 -0.191973 0.1430005 -0.2875118 -0.311076 0.9039316
## row899 1.111952 -0.538967 0.3713325 -0.7706631 -0.651694 -0.3703532
## row900 1.081059 -0.543490 0.3639197 -0.6106325 -0.436680 -0.4383908
## row901 1.085333 -0.671797 -0.0404894 -1.1597539 -0.068359 -0.5132559
## row902 1.627668 -0.033437 0.7057299 0.6293614 0.178721 0.4353849
## row903 -0.711116 0.530793 1.3846791 -0.3927652 -0.928032 0.8378541
## row904 -0.745077 0.600076 1.3057893 -0.3418247 -0.623353 0.7111142
## row905 -0.400880 -0.713739 -0.0001522 0.6695738 -2.277620 0.4523382
## row906 -0.391628 -1.055172 0.1528607 1.1527383 -2.786112 0.9223911
## row907 -0.741345 0.645832 1.2705786 -0.4581072 -0.568831 0.6492688
## row908 -0.681259 0.653715 1.2909377 -0.7646063 -0.986962 0.7786908
## row909 -0.709178 0.727926 1.1981393 -0.7599582 -0.721313 0.6692795
## row910 1.189054 0.585224 -1.8849076 0.1501641 0.078623 -0.2438843
## row911 1.154741 1.009432 -1.0506715 1.3981148 -0.556710 -0.1662458
## row912 1.158744 0.978749 -1.0308252 1.4119655 -0.598666 -0.1427270
## row913 1.172652 0.704232 -1.6997203 0.4737996 -0.014163 -0.2459807
## row914 0.675655 0.279550 -1.8399999 -1.1058710 -0.679658 -1.4071030
## row915 0.680152 0.438417 -1.4156574 -0.5662474 -1.157850 -1.2906390
## row916 0.695703 0.405073 -1.3968504 -0.6066055 -1.290548 -1.2286632
## row917 0.713769 -0.023187 -2.2827301 -1.8352292 -0.498167 -1.3547622
## row918 -0.933032 -0.377302 -2.0160744 0.3313989 -0.360840 0.0149317
## row919 1.255687 0.548458 -1.6186575 -0.4023966 0.228826 -0.7613604
## row920 -0.870978 0.193527 -0.1313969 1.1007731 -0.659188 -3.0839114
## row921 -0.905629 0.067864 -1.8017122 0.3928762 -0.851526 0.0556683
## row922 -1.014890 -0.162983 -2.5040896 0.0503851 0.616838 -0.3648339
## row923 -0.972894 -0.134389 -1.8055125 0.8030470 -0.361360 -0.0426817
## row924 -1.185736 1.225547 -0.3434052 0.1712075 -1.120031 -0.1192862
## row925 -1.154637 1.468826 -0.4200214 -0.1721334 -1.283389 -0.1469866
## row926 -1.169309 1.582511 -0.4799507 -0.1986030 -1.152083 -0.2205775
## row927 -0.871017 -0.248049 -2.0236295 0.6229965 -1.838150 -0.8341466
## row928 -0.643167 -1.592866 -0.5940135 -0.3943420 0.674733 0.9870179
## row929 -0.663876 -1.039007 -0.6934207 -0.5605735 0.830720 0.7617659
## row930 -0.588501 -2.668521 -1.8787052 -2.2252409 1.710403 0.9764738
## row931 -0.698493 -1.249808 -0.2612546 0.2809176 0.685596 0.8724638
## row932 -0.629742 -1.435318 -0.3723512 -0.2008793 0.353182 1.0400994
## row933 -0.676628 -1.668241 -0.9583333 -0.7040642 1.264876 0.8156981
## row934 -0.586240 -0.864757 -0.3934472 -0.6280010 0.022059 0.9551496
## row935 -0.688833 -1.542079 -0.8557409 -0.5317485 1.238909 0.7799440
## row936 -0.642405 -0.711751 1.8017005 0.5671459 1.413137 -3.2014172
## row937 -0.679849 -0.908048 0.0901034 0.6737500 -0.005718 -0.7900479
## row938 -0.863872 0.474018 1.0693480 -0.8760874 -0.333147 0.7739849
## row939 -0.914553 0.623333 0.9152722 -0.8504761 0.132016 0.5770249
## row940 -0.823960 0.571712 1.1090577 -1.1518314 -0.522118 0.7301078
## row941 -0.655607 -0.916609 1.6203489 0.7726996 1.206440 -2.7877052
## row942 -0.625198 -1.102870 -0.2772204 -0.1959487 0.211801 0.9658118
## row943 -0.704820 -1.187227 -0.7584210 -0.4006681 1.205664 0.6775160
## row944 1.468024 0.136649 0.0090952 -0.1214640 0.729147 0.5541067
## row945 1.377247 0.181385 0.3227780 0.8689845 0.931441 0.5323970
## row946 1.393539 0.220425 0.3134642 0.7429458 0.846220 0.5358393
## row947 1.406399 -0.098523 -0.0784354 0.2181998 1.163776 0.5420913
## row948 0.907240 -0.893730 -0.6071352 -1.8038099 0.947196 -0.6540626
## row949 0.896449 -0.398012 -0.0301785 -1.0560621 0.381904 -0.6175104
## row950 0.888079 -0.372651 -0.0623028 -1.0403751 0.433785 -0.6244758
## row951 0.909703 -0.653592 -0.7645741 -2.0691296 1.004486 -0.7242341
## row952 1.674771 0.406875 0.1040956 -1.5937700 -0.185605 0.4228421
## row953 -0.968723 0.687291 0.9608294 -0.4883664 0.415774 0.4807103
## row954 -0.938676 0.175075 1.1748196 -0.2464310 0.114849 0.7210337
## row955 -0.901140 0.406360 1.0122550 -0.7457520 -0.001882 0.6785099
## row956 -0.931473 0.582289 0.9843496 -0.6595750 0.197949 0.5616057
## row957 -0.882206 0.660232 1.0011504 -0.9453740 -0.130590 0.6266528
## row958 -0.913062 0.755445 0.9240069 -0.8598521 0.064825 0.5742519
## row959 -0.548213 -0.802322 1.3198757 0.2130765 0.046806 -2.0462299
## row960 -0.636948 -1.011302 0.0209740 0.7140761 -0.727692 -0.2319494
## row961 -0.886018 0.164706 1.1825206 -0.5258921 -0.237794 0.8344813
## row962 -0.851705 0.370244 1.2045106 -0.7369667 -0.515909 0.8583366
## row963 -0.766182 0.569137 1.0451920 -1.5252129 -0.895221 0.8779300
## row964 -0.686739 -1.435012 -0.0129762 0.2219370 0.305227 -0.2279865
## row965 -0.735765 -1.521631 -0.3521447 0.0353316 0.977426 -0.4222622
## row966 -0.853544 -1.782578 0.1372522 1.4310378 1.333440 -0.4522751
## row967 -0.700322 -1.646866 -0.6091882 -0.4880340 1.007368 -0.3953938
## row968 -0.817167 -1.791828 0.1913466 1.3121486 1.035045 -0.3506627
## row969 -0.711242 -1.343660 -0.2177977 0.0434542 0.658521 -0.3746586
## row970 -0.663533 -1.571912 -0.4711397 -0.5321588 0.641684 -0.3141326
## row971 -0.893423 0.360608 1.1848718 -0.8700919 -0.382219 -0.4207600
## row972 -0.664666 -1.217154 1.3780756 0.5737334 0.854344 -3.5228377
## row973 -0.627737 -1.364718 0.0416323 1.0445922 -1.818457 -0.4998902
## row974 -0.904499 -0.177524 1.5005628 -0.2941711 -0.441788 -0.2835603
## row975 -0.894490 -0.397769 1.6314614 -0.1001220 -0.618472 -0.1480359
## row976 -0.858378 0.134611 1.3682331 -0.8056465 -0.676284 -0.3022000
## row977 -0.879639 0.232096 1.2975336 -0.8081662 -0.486320 -0.3907113
## row978 -0.832202 0.311167 1.2277728 -1.2015177 -0.724969 -0.3523813
## row979 1.677850 -0.270486 1.0453844 -0.2127427 -1.550142 0.0519653
## row980 1.643741 -0.386175 0.8727796 -0.2308987 -1.149031 -0.0362716
## row981 1.593160 -0.380490 0.8505631 0.0169088 -0.793925 -0.1501198
## row982 1.570663 -0.364172 0.9040075 0.2109313 -0.697085 -0.1860396
## row983 0.967836 -0.994466 0.4605980 -1.1698315 -0.317775 -1.6294022
## row984 1.011480 -0.912549 0.4431060 -1.4551487 -0.603914 -1.5637109
## row985 0.985112 -0.875469 0.4207535 -1.3649145 -0.390572 -1.6558702
## row986 0.985142 -0.929107 0.1354329 -1.7534378 -0.103874 -1.7358132
## row987 -0.551282 -1.740049 0.3878368 0.1198586 -0.155258 0.4712880
## row988 -0.674660 -2.572705 0.5692793 1.2520600 0.629214 0.4735746
## row989 -0.501518 -2.021991 0.3964494 -0.0954422 -0.418073 0.6226084
## row990 -0.521109 -2.095325 0.2592302 -0.1499540 -0.161079 0.5715553
## row991 -0.798555 0.142733 1.5256936 -0.8773155 -0.493022 0.1196352
## row992 -0.565429 -1.337003 1.9135899 0.7649726 0.549990 -2.9707689
## row993 -0.555288 -1.604182 0.6298986 0.8712779 -1.059522 -0.7745194
## row994 -0.746421 0.008492 1.6473476 -1.0087779 -0.866213 0.2406855
## row995 -0.760924 0.038077 1.6167533 -0.9877886 -0.731486 0.1807751
## row996 -0.715319 0.162116 1.4427196 -1.5737280 -0.796132 0.1096926
## row997 -0.513021 -1.814586 0.3775667 -0.1793929 -0.250997 0.4457798
## row998 1.698141 -0.243867 0.9438001 -0.4323991 -0.858344 0.3042441
## row999 1.733032 -0.319947 1.0118799 -0.5091917 -1.146914 0.4216194
## row1000 1.709865 -0.260528 0.9704592 -0.4589141 -0.954648 0.3375253
## row1001 1.722834 -0.264772 1.0165276 -0.4669103 -1.081761 0.3781038
## row1002 1.194346 -0.881868 0.6039094 -2.2150573 -1.232904 -0.8978259
## row1003 1.181708 -0.758503 0.5622982 -2.2375433 -1.122303 -0.9744674
## row1004 1.164750 -0.888553 0.6380950 -2.0089484 -1.058111 -0.9566319
## row1005 1.155769 -0.931353 0.4891226 -2.1553272 -0.851079 -1.0093222
## row1006 -0.779338 0.081956 1.5802825 -0.8927520 -0.662992 0.1923284
## row1007 -0.487069 -1.539337 0.3981132 0.7636539 -2.207462 0.0882451
## row1008 -0.452678 -1.748189 0.4572290 -0.3432623 -0.849546 0.6797582
## row1009 -0.774685 0.075620 1.5905976 -0.9542143 -0.625715 0.1382929
## row1010 -0.806950 0.199867 1.4228396 -1.0405408 -0.269916 -0.0140951
## row1011 -0.776023 0.095311 1.5372114 -1.0208311 -0.576630 0.1207636
## row1012 -0.557973 -1.352143 0.1733865 -0.2706341 0.083906 0.2463663
## row1013 -0.625453 -2.043170 -0.4054711 -0.5485940 1.212717 0.0842773
## row1014 -0.782630 -1.959395 0.3141164 1.3083917 1.545785 -0.0360107
## row1015 -0.511238 -1.272942 0.0984213 -0.6566912 -0.161065 0.2957752
## row1016 -0.659341 -1.878743 -0.4285441 -0.4566341 1.468221 -0.0667533
## row1017 -0.460232 -1.009642 2.1666548 -0.0978463 0.384683 -3.4909367
## row1018 -0.522845 -1.318932 0.6349935 0.5530189 -1.210501 -0.8792075
## row1019 -0.816251 0.236802 1.4730680 -0.9235403 -0.268877 -0.0213569
## row1020 -0.836343 0.425253 1.3502429 -1.0339437 -0.041297 -0.1555982
## row1021 -0.823548 0.533138 1.2026789 -1.4059566 0.101285 -0.2942167
## row1022 -0.808640 0.378427 1.4042018 -1.0972228 -0.274160 -0.0643882
## row1023 -0.830045 0.098844 1.5370108 -0.6802822 -0.282786 0.0635591
## row1024 -0.895965 0.130394 1.5060576 -0.4131304 0.248367 -0.1542000
## row1025 -0.867017 0.353576 1.3463681 -0.8490321 0.172291 -0.1985645
## row1026 -0.898305 0.351940 1.2965714 -0.7420472 0.423233 -0.2753088
## row1027 -0.799779 0.363243 1.2519416 -1.4134822 -0.097348 -0.1673048
## row1028 -0.539098 -1.774345 0.4265822 0.0444545 -0.162794 0.4241401
## row1029 1.650964 -0.197283 0.9012319 -0.2451116 -0.507786 0.1763141
## row1030 1.623427 -0.176103 0.8906103 -0.1184742 -0.309900 0.1023182
## row1031 1.572495 -0.188866 0.8804412 0.1513720 0.040682 -0.0053889
## row1032 1.556190 -0.359622 0.8256852 0.2095247 0.224035 -0.0094651
## row1033 1.049145 -0.688077 0.2681195 -1.9329963 0.028990 -1.3636854
## row1034 1.032600 -0.720104 0.4861641 -1.5312701 -0.062568 -1.3243899
## row1035 1.022971 -0.847473 0.3559891 -1.6231621 0.137995 -1.3455805
## row1036 1.024374 -0.835461 0.3232345 -1.6711276 0.145637 -1.3447594
## row1037 1.734442 0.299561 0.8113541 -1.1149916 -0.812277 -0.0183841
## row1038 -0.533117 -1.380554 2.3293989 0.3967744 1.107108 -3.7983111
## row1039 -0.674796 -1.247492 1.2018901 1.0953780 0.839631 -2.4620682
## row1040 -0.552750 -1.381542 0.4268030 0.6274867 -1.077525 -0.7462442
## row1041 -0.820437 0.199609 1.3611757 -1.0384059 -0.141486 -0.0436449
## row1042 -0.831322 0.252420 1.4487932 -0.8670480 -0.164267 -0.0501616
## row1043 -0.839772 0.297482 1.4257069 -0.8665264 -0.088706 -0.0906057
## row1044 -0.862144 0.354230 1.3688909 -0.8303503 0.096885 -0.1623912
## row1045 -0.807380 0.283363 1.4393252 -1.0229103 -0.314789 -0.0144070
## row1046 -0.707513 0.289960 1.3729356 -0.3798086 -0.888702 0.8906586
## row1047 -0.779394 0.553444 1.3318874 -0.1894623 -0.286474 0.5460405
## row1048 1.779638 -0.054111 0.9640293 0.3258974 -1.328988 1.0679919
## row1049 1.771423 -0.105638 0.9705926 0.4070362 -1.293547 1.0845501
## row1050 1.743341 -0.034611 0.9176944 0.4694899 -1.065243 0.9886998
## row1051 1.713552 -0.221900 0.6793482 0.3615685 -0.631006 0.9183763
## row1052 1.205761 -0.844536 0.0756175 -1.7282364 -0.792129 -0.3219150
## row1053 1.179029 -0.542098 0.4358240 -1.1088208 -1.071401 -0.2857140
## row1054 1.165929 -0.540884 0.4164534 -1.0426534 -0.997534 -0.2915959
## row1055 1.165899 -0.654918 0.1902379 -1.3228048 -0.773760 -0.3233478
## row1056 1.899825 0.342482 0.6341415 -1.0435599 -1.651731 0.9191860
## row1057 -0.261685 -1.018732 2.2163132 0.1265411 -0.894598 -2.3900890
## row1058 -0.351293 -1.143924 0.7336581 0.9148453 -2.334026 0.0864236
## row1059 -0.648335 0.575501 1.3013567 -0.9564079 -1.138376 0.8133967
## row1060 -0.705671 0.342116 1.4449383 -0.3338733 -0.930992 0.8617226
## row1061 -0.685957 0.538464 1.4015066 -0.5542550 -1.046661 0.8355165
## row1062 -0.522563 -1.091255 0.0001418 0.4688386 0.072875 0.8528342
## row1063 -0.459558 -1.574779 0.4496592 0.9113924 -0.768176 1.3100041
## row1064 -0.535455 -1.721123 0.5357897 1.4786442 -0.312045 1.2040985
## row1065 -0.574148 -1.862921 0.5658040 1.7607066 -0.049477 1.1574379
## row1066 -0.673450 -2.087456 0.6976186 2.5547130 0.508725 1.0559862
## row1067 -0.687636 0.352280 1.4957077 -0.3553312 -1.115634 0.9260105
## row1068 -0.704698 0.493470 1.3262927 -0.5474877 -0.838891 0.7803147
## row1069 -0.693483 0.301865 1.7323071 -0.2344936 -0.917253 0.6633628
## row1070 -0.348903 -1.675350 0.3715736 0.2327549 -1.437689 1.5668409
## row1071 -0.222676 -1.012220 2.1476840 0.0891736 -1.499475 -1.9651828
## row1072 -0.351002 -1.186191 0.6625309 1.0029493 -2.527439 0.3128911
## row1073 -0.683797 0.233853 1.5783176 -0.2355670 -1.196967 0.9859643
## row1074 -0.699338 0.289484 1.5506370 -0.2043912 -1.072282 0.9270834
## row1075 -0.713001 0.345702 1.5205875 -0.1900157 -0.953457 0.8673128
## row1076 -0.710449 0.311666 1.4903655 -0.2343665 -0.941466 0.8767187
## row1077 -0.693167 0.529437 1.3709830 -0.5709137 -0.944104 0.7917030
## row1078 -0.745593 0.410740 1.4489948 -0.0981497 -0.719747 0.7963290
## row1079 -0.298716 -0.919199 1.8501504 0.1593147 -0.855022 -2.1253200
## row1080 -0.642179 0.873995 1.1764057 -1.2425271 -1.098976 0.7044255
## row1081 1.800642 -0.047352 0.6247699 -0.1148349 -1.368349 1.2039835
## row1082 1.694947 -0.113454 0.8612714 0.8104549 -0.875869 1.0661505
## row1083 1.683606 -0.164085 0.8831735 0.9239786 -0.825486 1.0726489
## row1084 1.724833 -0.104132 0.6928908 0.4158702 -0.925890 1.0842576
## row1085 1.210771 -0.356487 0.0747580 -1.7917137 -1.027107 -0.3241306
## row1086 1.165520 -0.486943 0.3626786 -1.0976580 -0.997839 -0.2819827
## row1087 1.141450 -0.446595 0.3299044 -1.0214384 -0.811192 -0.3547681
## row1088 1.174647 -1.442941 -1.8852167 -4.0505269 1.245321 -0.7208754
## row1089 1.708405 0.415156 0.5540349 -0.1380109 -0.281977 0.4428892
## row1090 -0.511933 -1.438623 -0.0246015 0.4722017 0.062874 0.9719745
## row1091 -0.488904 -1.434715 -0.5302784 -0.3821264 0.424783 0.8338643
## row1092 -0.446508 -1.492160 0.1276587 0.3473719 -0.525593 1.1857228
## row1093 -0.468686 -1.420417 0.0980007 0.4185801 -0.372479 1.1215049
## row1094 -0.685344 0.626782 1.3390055 -0.6631144 -1.009576 0.7990426
## row1095 -0.697770 0.690902 1.2720992 -0.7052755 -0.870310 0.7331697
## row1096 -0.714129 0.627314 1.3363539 -0.5111004 -0.811264 0.7332759
## row1097 -0.445049 -1.296631 0.0848759 0.2379144 -0.533918 1.1334224
## row1098 -0.383091 -0.848319 1.8998681 0.7681816 -0.488763 -2.1850014
## row1099 -0.420666 -1.002452 0.3522245 1.3683481 -2.479498 0.6310776
## row1100 -0.378880 -1.194703 0.2219847 0.0398326 -1.122215 1.2909059
## row1101 -0.815395 0.782539 1.2161038 -0.1732489 -0.024259 0.4217000
## row1102 -0.797986 0.945461 1.1246511 -0.4537486 -0.052463 0.3655509
## row1103 -0.710171 0.777600 1.2123877 -0.7563832 -0.721767 0.6461117
## row1104 -0.737101 0.809136 1.1289327 -0.7382674 -0.458196 0.5466015
## row1105 -0.725235 0.867474 1.1190109 -0.8378841 -0.527696 0.5456058
## row1106 -0.719903 0.871716 1.1523276 -0.8149454 -0.606056 0.5753954
## row1107 -0.985439 2.321426 -2.1062587 -1.8891230 -0.391687 -0.2255717
## row1108 -1.007840 2.384122 -2.1437341 -1.8382054 -0.209059 -0.3074302
## row1109 -0.816953 0.046484 -3.4166948 -0.5807731 0.664816 0.0344196
## row1110 -0.829195 -0.219428 -5.0048764 -2.6534971 2.294243 -0.4060873
## row1111 -0.834222 -0.401901 -5.0698822 -2.6693792 2.414819 -0.3870291
## row1112 1.412600 1.360339 -2.7659535 -0.7470569 -0.116866 0.0339518
## row1113 0.885341 0.761785 -3.2496368 -2.5893396 -0.235301 -1.2446712
## row1114 1.514049 1.405598 -2.5391703 -1.0426715 -0.954489 0.2529917
## row1115 1.489897 1.475636 -2.3400033 -0.6361866 -1.014304 0.2628582
## row1116 -0.673831 -0.096155 -3.1337318 -0.9085590 -0.583874 0.5048060
## row1117 -0.642302 -0.057051 -3.2416411 -1.2459524 -0.691281 0.5232784
## row1118 1.722213 1.323411 -2.6513814 -2.6906157 -1.677338 0.1968367
## row1119 0.972066 0.417370 -3.1173826 -2.7386664 -0.975068 -0.8514460
## row1120 1.006167 0.469635 -3.1274635 -2.9402290 -1.220361 -0.7780622
## row1121 -0.710172 0.565835 -3.1238755 0.2439708 -2.139385 -0.1197038
## row1122 -0.651865 0.353251 -3.1600129 -1.1685167 -0.786580 0.4382287
## row1123 -1.055162 2.112324 -1.8018001 -1.0234681 -0.194713 -0.2174381
## row1124 -1.049623 2.156926 -1.8619495 -1.1597268 -0.164671 -0.2504049
## row1125 -1.041595 2.247158 -1.8975077 -1.2716418 -0.204099 -0.2623002
## row1126 -1.065990 2.273655 -1.9572987 -1.2263309 0.010368 -0.3385373
## row1127 -0.964700 2.181442 -1.8329695 -1.6019678 -0.748893 -0.0788992
## row1128 -1.017400 2.576400 -2.0826637 -1.7204772 -0.273978 -0.3222207
## row1129 -0.629981 0.404168 -2.9047482 0.1584299 -2.874800 0.1752592
## row1130 -0.860376 1.860678 -1.6021917 -1.7357862 -1.675391 0.3509551
## row1131 -0.885385 2.152735 -1.8711710 -2.0561903 -1.279455 0.1235806
## row1132 -0.899779 1.935941 -2.3413412 -2.5782030 -0.701530 0.0036817
## row1133 -0.800561 1.912001 -1.9378124 -2.5737130 -1.719107 0.3232753
## row1134 -0.728934 -0.422200 -1.4499643 0.4007514 0.723208 0.1522679
## row1135 -0.792463 -0.645960 -1.6435487 0.5296306 1.375491 0.0064430
## row1136 -0.770985 -1.048665 -1.5732426 0.6119052 1.221896 0.1826201
## row1137 -0.755547 -1.334033 -2.9485532 -1.3287294 2.491529 -0.1503178
## row1138 -0.770353 -0.965134 -2.0474817 -0.0856232 1.677013 -0.0016723
## row1139 -0.782813 -1.134357 -1.4333535 0.9000848 1.169734 0.2323525
## row1140 -1.118068 2.086565 -0.7481251 -0.6292797 1.729683 -0.8679957
## row1141 -0.988805 1.393497 -0.4166445 -0.7042207 0.651230 -0.3050988
## row1142 -0.933405 1.631775 -0.5148615 -1.2315545 0.379062 -0.3148020
## row1143 -0.701957 0.031541 -1.7022980 0.8756867 -0.949633 -0.3847853
## row1144 -1.090129 1.990620 -0.6990777 -0.6875697 1.505940 -0.7637307
## row1145 -1.019501 1.257189 -0.4969514 -0.6141039 0.954420 -0.3608929
## row1146 -0.985742 1.228684 -0.2888533 -0.4988015 0.528567 -0.2114730
## row1147 -1.030781 1.673327 -0.6603148 -0.8903077 1.134056 -0.5540921
## row1148 -0.931130 1.731193 -0.5503561 -1.3294370 0.399567 -0.3618446
## row1149 -0.751670 -0.601855 -2.0892074 -0.3335961 1.532813 -0.0654515
## row1150 -0.727248 -0.569671 -2.0544941 -0.4269488 1.330858 -0.0101021
## row1151 -0.594280 -0.587081 -0.8402590 0.5395414 -1.429794 -1.9228649
## row1152 -0.596761 -0.561390 -1.2526416 0.7021339 -2.111015 -1.0932455
## row1153 -0.794387 -0.574920 -1.3204786 1.6864005 -0.707654 -1.5483903
## row1154 -0.763512 -0.762358 -1.2692817 0.5374250 0.745225 -1.0322810
## row1155 -0.967841 1.219886 -0.2115180 -0.8881240 0.265664 -1.4172513
## row1156 -0.990373 1.234563 -0.2053869 -0.7618906 0.411871 -1.4707720
## row1157 -0.991766 1.274993 -0.3970411 -1.0332615 0.601164 -1.5463857
## row1158 -0.886420 1.247233 -0.1976043 -1.3538589 -0.249827 -1.2866118
## row1159 -1.012171 1.242627 -0.2143981 -0.6311687 0.526944 -1.4885310
## row1160 -0.959262 1.031537 -0.0545445 -0.6659319 0.080922 -1.2958243
## row1161 -0.945945 1.104805 -0.1820942 -0.9349383 0.102663 -1.3258895
## row1162 -0.762444 1.056725 -0.0080969 -1.7427896 -1.202457 -0.9375539
## row1163 1.630953 0.082002 -0.4685053 -0.2686547 -1.123027 -0.5887003
## row1164 1.626623 0.123597 -0.4200768 -0.1884380 -1.145546 -0.5947885
## row1165 1.622455 0.080718 -0.3991768 -0.1254448 -1.131687 -0.5856079
## row1166 1.640430 0.109379 -0.3982461 -0.2290449 -1.258506 -0.5529547
## row1167 1.089283 -0.508658 -0.7359048 -1.7601923 -1.311536 -1.8701436
## row1168 1.079340 -0.455002 -0.9213241 -1.9802761 -1.071421 -1.9670600
## row1169 1.127155 -0.514322 -0.8219952 -2.0767888 -1.496505 -1.8008385
## row1170 1.132006 -0.384347 -0.8113550 -2.1243328 -1.553544 -1.8256582
## row1171 -0.619748 -1.008768 -1.0768619 0.0757651 -0.360949 -0.6012985
## row1172 -0.616658 -1.265922 -1.0593749 0.1172842 -0.315303 -0.5615395
## row1173 -0.635892 -1.344364 -1.0405973 0.3033273 -0.244619 -0.5303496
## row1174 -0.625569 -1.546846 -1.1549923 0.0887355 -0.101132 -0.5555811
## row1175 -0.683324 -1.282535 -1.0942705 0.4664449 0.125376 -0.6746443
## row1176 -0.711089 -0.740947 -1.5306175 -0.1747786 0.722926 -1.0792509
## row1177 -0.636736 -0.326998 -1.1825266 0.3759353 -1.073606 -1.9959886
## row1178 -0.590808 -0.590528 -1.1890789 0.7649255 -2.206725 -1.0535361
## row1179 -0.560515 -0.827652 -1.1390686 -0.3725722 -0.737746 -0.5292642
## row1180 -0.571452 -1.410391 -1.0749705 -0.1643675 -0.510127 -0.4946855
## row1181 -0.547956 -1.330135 -1.1110417 -0.3870480 -0.609915 -0.5075396
## row1182 -0.812899 0.971200 1.1727869 -0.3035232 1.679406 -0.5587415
## row1183 -0.746128 0.589182 1.3892290 -0.2891328 1.106379 -0.2687437
## row1184 -0.737497 0.655092 1.3994708 -0.3386947 1.029042 -0.2643346
## row1185 -0.719680 0.625725 1.4239531 -0.3913254 0.885221 -0.2057311
## row1186 -0.315490 -0.871954 0.1404750 0.2248719 -0.951395 -0.4701734
## row1187 -0.390349 -0.839023 0.2114846 1.1008980 -1.081267 -0.1205169
## row1188 -0.391386 -1.047971 0.2268617 0.0800035 0.626404 0.3180867
## row1189 -0.738413 0.953880 1.0025752 -0.9394894 1.337636 -0.4391357
## row1190 -0.678777 0.446279 1.5451436 -0.3962656 0.513497 -0.0250489
## row1191 -0.714792 0.356041 1.5699353 -0.1412735 0.743891 -0.0708046
## row1192 -0.672893 0.743296 1.2850498 -0.8756346 0.694260 -0.1852121
## row1193 -0.536871 0.828255 1.3097837 -1.6648871 -0.169005 0.0185579
## row1194 -0.665573 0.765213 1.3477699 -0.8284862 0.574016 -0.1485804
## row1195 1.201878 -0.760102 0.1985238 -1.4752594 0.675798 -1.1167258
## row1196 -0.468491 -1.311995 0.0989932 0.3691972 1.336306 0.1530164
## row1197 -0.432198 -1.280963 0.0509569 0.0939438 1.136745 0.2062307
## row1198 1.825115 -0.117334 1.1218949 0.2476093 0.014610 0.2352659
## row1199 1.824612 -0.482813 1.1881358 0.5074062 -0.100594 0.4485079
## row1200 1.833167 -0.293387 1.0690960 0.2500742 -0.076374 0.3838465
## row1201 1.263384 -0.817601 0.3331355 -1.7015256 0.279082 -1.0478026
## row1202 1.240340 -1.085968 -0.5131237 -2.6503571 1.227059 -1.2405122
## row1203 1.206571 -0.766664 0.1799519 -1.5370482 0.680690 -1.1263271
## row1204 -0.433197 -1.087807 0.2761745 0.3870086 0.866720 0.2523779
## row1205 -0.467088 -1.385804 -0.0113037 0.2382616 1.425372 0.1571901
## row1206 -0.443871 -2.279335 -2.2233649 -2.7615351 3.536550 -0.2619015
## row1207 -0.615230 -1.695952 0.2416162 1.4868510 2.212776 0.0059630
## row1208 -0.633846 -2.191676 0.0675699 1.4724803 2.574062 0.0452081
## row1209 -0.457233 -1.546664 -0.7151243 -0.7654992 2.069603 -0.0098740
## row1210 -0.414459 -1.015230 0.3134619 1.4132685 -0.982188 -0.1024284
## row1211 -0.428578 -1.341048 0.4147476 0.6159292 0.744005 0.3692459
## row1212 -0.654429 0.629861 1.4196317 -0.7570420 0.452806 -0.0684292
## row1213 -0.630629 0.765798 1.3008798 -1.1017581 0.408700 -0.1093239
## row1214 -0.646679 0.691899 1.3798713 -0.8716682 0.431504 -0.0819995
## row1215 -0.691776 0.705233 1.4068912 -0.5942271 0.712091 -0.1800237
## row1216 -0.659692 0.705514 1.4050150 -0.7762825 0.503989 -0.1159796
## row1217 -0.642174 0.778285 1.2652376 -1.0872346 0.512320 -0.1432934
## row1218 -0.694535 0.831775 1.2982717 -0.7686993 0.825521 -0.2618271
## row1219 -0.458512 0.848657 1.3550230 -2.0537633 -0.714770 0.1736399
## row1220 -0.675632 0.774793 1.3566730 -0.7716636 0.643920 -0.1811392
## row1221 1.874967 -0.101694 0.8075719 -0.3877524 -0.140410 0.3473357
## row1222 1.777028 -0.349615 -0.0358999 -0.8803055 1.233927 0.0505988
## row1223 1.763871 -0.382995 -0.0194402 -0.7708256 1.302275 0.0441372
## row1224 1.741850 -0.340856 0.0212960 -0.5816064 1.371490 0.0276868
## row1225 1.197926 -0.963012 -0.7114356 -2.7053197 1.653480 -1.4000940
## row1226 1.167554 -0.825685 -0.5128143 -2.2649238 1.599988 -1.3984615
## row1227 1.135146 -0.650098 -0.2139960 -1.7111196 1.500144 -1.4171332
## row1228 -0.480329 -0.603901 -0.2322895 0.8851417 -0.041274 -0.5570260
## row1229 -0.426893 -0.761282 0.1599089 1.1976033 -0.780158 -0.2523573
## row1230 -0.396621 -1.038948 0.1305322 -0.0394277 0.769580 0.2590284
## row1231 1.149926 -0.564192 -0.0966554 -1.6428404 1.265360 -1.3617404
## row1232 -0.494772 -1.024808 0.1353121 0.4977197 1.426820 0.0393205
## row1233 -0.509138 -0.997516 0.0047543 0.3837084 1.649853 -0.0447855
## row1234 -0.529832 -0.854110 -0.4740507 -0.2161061 2.240233 -0.2895213
## row1235 -0.488519 -1.085540 0.0628699 0.3513859 1.502342 0.0114134
## row1236 -0.524943 -0.939200 -0.6505744 -0.4728817 2.396645 -0.3183403
## row1237 -0.506448 -0.807456 -0.4056332 -0.2638499 2.015998 -0.2343245
## row1238 -0.495975 -1.149638 -0.9649363 -1.0149670 2.530897 -0.2950239
## row1239 -0.440482 -1.324918 -0.6440785 -0.8308514 1.882070 -0.0327526
## row1240 -0.674819 0.778534 1.3227839 -0.8345477 0.685614 -0.2045290
## row1241 -0.684883 0.941450 1.1246162 -1.1050017 0.931442 -0.3423743
## row1242 1.856983 0.060953 -0.7477318 -0.7338394 0.670219 0.4971210
## row1243 1.814223 0.294461 -0.3464262 0.0636475 0.445873 0.5504804
## row1244 1.869756 -0.761194 0.4419771 1.1565479 -0.575579 1.2396804
## row1245 1.829992 0.173500 -0.3527156 0.0626615 0.268721 0.6994711
## row1246 1.366658 -1.019119 -0.3146667 -1.2339395 -0.719657 -0.0951274
## row1247 1.308360 -0.414873 -0.7368623 -1.6160315 -0.070964 -0.4613456
## row1248 1.251655 -0.274424 -0.5753049 -1.1053594 0.119288 -0.5577101
## row1249 1.272392 -0.143142 -0.4773492 -1.1113018 -0.138823 -0.5116859
## row1250 1.947569 0.247490 -1.7171252 -2.9508736 1.443495 -0.0863147
## row1251 -0.799148 1.749631 -0.0672260 -0.4658133 1.776901 -0.3086037
## row1252 -0.656585 1.136222 0.1578516 -0.7940552 0.717423 0.2127839
## row1253 -0.600725 1.313025 0.1708750 -1.1568863 0.349929 0.2503644
## row1254 -0.430686 -0.411362 -0.9436980 0.3388864 1.036905 0.5100112
## row1255 -0.423719 -0.508727 -1.3788214 -0.2885000 1.431287 0.4060486
## row1256 -0.428489 -0.550587 -1.3979523 -0.2812680 1.491802 0.3972131
## row1257 -0.418027 -0.668586 -1.5200136 -0.4807831 1.558160 0.4109290
## row1258 -0.300218 0.055840 -0.8213693 0.2853614 -0.974469 -0.3280334
## row1259 -0.398741 -0.154616 -1.0000666 1.1138030 -0.834687 0.1029497
## row1260 -0.666986 1.286537 0.2103689 -0.7079116 0.724341 0.1584019
## row1261 -0.647124 1.427339 0.1523090 -0.9383057 0.633933 0.1390074
## row1262 -0.540299 1.350739 0.1359477 -1.5860060 0.032000 0.3073281
## row1263 -0.649727 1.534334 0.0927486 -1.0341854 0.693072 0.0861616
## row1264 -0.762283 1.220770 0.2744104 -0.0745874 1.303832 -0.0033804
## row1265 -0.758605 1.255503 0.2410492 -0.1529169 1.310391 -0.0189218
## row1266 -0.779864 1.474267 0.0911146 -0.3055952 1.572165 -0.1764975
## row1267 -0.792511 1.542387 0.0313814 -0.3357413 1.702772 -0.2392754
## row1268 -0.507617 1.423812 0.0331756 -1.9147989 -0.117305 0.3425290
## row1269 -0.761212 1.413083 0.0057862 -0.5086584 1.533594 -0.1428469
## row1270 1.726035 0.216036 -0.4734261 0.3398989 1.244249 0.2749554
## row1271 1.711681 0.238842 -0.5959262 0.3444895 1.301693 0.3357839
## row1272 1.701132 0.262453 -0.6236683 0.3769557 1.366804 0.3236566
## row1273 1.697095 0.318843 -0.6013269 0.4268574 1.348161 0.3212691
## row1274 1.149075 -0.202977 -1.0453906 -1.2820039 1.344107 -1.0319328
## row1275 1.159068 0.019452 -0.9913662 -1.2793668 1.136305 -1.0020410
## row1276 1.160784 0.049125 -0.9991675 -1.2867287 1.097550 -0.9815583
## row1277 1.179831 0.183179 -0.8005320 -1.1413377 0.750446 -0.9053819
## row1278 1.786840 1.239926 -0.6606218 -0.8092796 1.309786 -0.3187851
## row1279 -0.487787 -0.286212 -0.9442763 1.7167613 -0.277889 -0.0319436
## row1280 -0.503382 -0.821000 -1.6529784 -0.1569683 2.275343 0.2294476
## row1281 1.787033 0.836099 -0.6163918 -0.6517612 1.331980 -0.2035594
## row1282 -0.402368 -0.878433 -1.2850418 -0.1879691 1.261507 0.5713774
## row1283 -0.367398 -0.216255 -1.5208477 -0.8833981 1.168791 0.3865012
## row1284 -0.856685 1.769608 -0.0367819 -0.1155492 2.134354 -0.4321841
## row1285 -0.791586 1.257683 0.2546822 0.0437820 1.521898 -0.0899210
## row1286 -0.739532 1.426942 0.1532816 -0.4284165 1.249673 -0.0578042
## row1287 -0.767714 1.499837 0.1038031 -0.3603778 1.474014 -0.1523282
## row1288 -0.745365 1.446790 0.1171097 -0.4511751 1.319467 -0.0860319
## row1289 -0.353535 0.190758 -0.9602236 0.4304296 -0.623605 -0.4156339
## row1290 -0.392305 -0.285365 -0.9923300 0.0207263 0.820136 0.5333734
## row1291 -0.868743 0.428222 0.7228148 0.9262285 1.642666 -1.1622784
## row1292 -0.834172 0.462943 0.6407207 0.6126976 1.485683 -1.1234607
## row1293 -0.855844 0.652740 0.4800283 0.4568463 1.761351 -1.2745662
## row1294 -0.894794 0.692734 0.4444020 0.6123096 2.048192 -1.3782296
## row1295 -0.637165 0.582605 0.5925373 -0.6178311 0.273263 -0.8152749
## row1296 -0.834679 0.658183 0.5172771 0.3933440 1.580126 -1.2160686
## row1297 1.954438 -0.349003 0.4131240 0.0658659 -1.124629 -0.0746709
## row1298 1.826125 -0.648415 0.2165498 0.6373218 -0.132394 -0.2449385
## row1299 1.819576 -0.548273 0.2592534 0.7557183 -0.215721 -0.2084281
## row1300 1.822491 -0.428394 0.1422002 0.5744770 -0.182578 -0.2331117
## row1301 1.330984 -0.614290 -0.1490857 -1.2385145 -0.875609 -1.4033044
## row1302 2.059947 0.382591 0.3252594 -1.1470458 -1.365457 -0.5040052
## row1303 -0.349042 -0.367979 -0.7801811 0.6799407 -1.237839 -1.0953508
## row1304 -0.346230 -0.628193 -0.6505578 1.0393557 -1.534584 -0.8088993
## row1305 1.318973 -0.486804 -0.5547016 -1.8343506 -0.329970 -1.6745994
## row1306 1.313334 -0.435489 -0.6072754 -1.8449421 -0.315963 -1.6574123
## row1307 1.274599 -0.541703 -0.3388060 -1.2184009 -0.317417 -1.6117851
## row1308 -0.236635 -1.206655 -0.1946608 0.1263788 -0.153070 0.3079118
## row1309 -0.274949 -1.457059 -0.0607575 0.5860632 0.012129 0.3332826
## row1310 -0.241491 -1.835522 -0.3017149 0.1635773 0.071113 0.4332619
## row1311 -0.769453 0.498691 0.8166098 0.4969672 1.668094 -0.7404281
## row1312 -0.774323 0.598871 0.7971345 0.4703245 1.706242 -0.7849304
## row1313 -0.824974 0.607096 0.7815327 0.7250147 2.058209 -0.9003030
## row1314 -0.418835 0.355925 0.9418751 -1.3309471 -0.607599 -0.0604307
## row1315 -0.782336 0.529456 0.7782048 0.5052785 1.788247 -0.7897661
## row1316 -0.127699 -0.993319 0.2528372 0.4210557 -1.866437 -0.7892677
## row1317 -0.188538 -0.925098 -0.0458172 0.6712421 -1.704823 -0.5666578
## row1318 -0.160127 -1.127908 0.0839915 -0.4288377 -0.192029 -0.1310266
## row1319 -0.602262 0.738475 0.7732714 -0.5325865 0.542471 -0.4460490
## row1320 -0.614089 0.803014 0.7511834 -0.5154625 0.634491 -0.4965295
## row1321 -0.606830 0.852607 0.6436020 -0.7200174 0.684982 -0.5305700
## row1322 -0.625827 0.881466 0.5718736 -0.7211716 0.873818 -0.5990127
## row1323 -0.310870 0.550157 0.8307235 -2.0905578 -1.306974 0.1346016
## row1324 -0.594544 0.847917 0.6423480 -0.7864953 0.602367 -0.5012503
## row1325 -0.266697 -0.724425 -0.4987512 0.8397043 -1.405712 -0.3694060
## row1326 1.959683 -0.053796 0.3162253 -0.1806887 -0.303530 0.0109973
## row1327 1.932197 -0.390577 -0.1196246 -0.5507837 0.343622 -0.0918206
## row1328 1.891196 -0.074129 0.4263071 0.3689084 0.029939 -0.0766401
## row1329 1.890394 -0.060820 0.4482733 0.4095515 -0.001023 -0.0631462
## row1330 1.367322 -0.649489 -0.1090016 -1.5773290 -0.053856 -1.3802626
## row1331 1.375738 -0.467563 -0.1352318 -1.6589244 -0.181545 -1.3562924
## row1332 1.344467 -0.497448 -0.2280296 -1.4917570 -0.054083 -1.2886153
## row1333 1.340126 -0.469501 -0.0484962 -1.1882354 -0.255202 -1.2010792
## row1334 2.020161 0.229824 0.6634553 -0.3285517 -0.741047 -0.1297884
## row1335 -0.665335 1.670085 0.4494144 -0.0050074 0.716290 -0.4826030
## row1336 -0.680593 1.784399 0.4447667 0.0396517 0.811930 -0.5523552
## row1337 -0.699830 1.862484 0.3781999 0.0338109 0.991480 -0.6338666
## row1338 -0.503231 1.601574 0.3542205 -1.1048212 -0.126563 -0.2708480
## row1339 -0.452486 -0.138839 -0.6575818 1.2518441 1.175149 -0.1535446
## row1340 -0.497230 0.010886 -0.7330984 1.3489694 1.533265 -0.3204339
## row1341 -0.319317 0.321368 -0.6808605 1.3528233 -1.266345 -0.5369945
## row1342 -0.460532 0.244473 -0.7664050 2.1491795 -0.408810 -0.6861306
## row1343 -0.438240 0.064016 -0.6757164 1.1005290 1.062841 -0.1781671
## row1344 -0.747588 1.904284 0.3726845 0.2790403 1.308350 -0.7477263
## row1345 -0.756362 1.952976 0.3117979 0.2275796 1.421942 -0.8017998
## row1346 -0.781262 1.994226 0.1912351 0.1859658 1.697690 -0.9036531
## row1347 -0.598287 1.825010 0.3515053 -0.6594015 0.503994 -0.5572779
## row1348 1.843445 0.061999 0.4997276 1.7401190 -0.422042 0.4855677
## row1349 1.807776 -0.039622 0.1260096 1.4515036 0.172600 0.3341190
## row1350 1.796243 0.280253 0.3638938 1.7738218 -0.036132 0.3088362
## row1351 1.768102 0.337979 0.2380747 1.7401134 0.261572 0.1961043
## row1352 1.248829 0.235310 -0.2594372 -0.3048933 0.052829 -1.2210836
## row1353 1.219713 0.428696 -0.3477850 -0.3156893 0.302249 -1.3610004
## row1354 1.190081 0.565484 -0.3626463 -0.2044851 0.489345 -1.4608144
## row1355 1.194976 0.582325 -0.2992557 -0.1464072 0.392270 -1.4339424
## row1356 -0.393232 1.027070 0.5782083 -0.8395954 -0.530025 0.4453231
## row1357 -0.066993 -0.244807 -1.1135658 -0.1817288 -1.844663 0.1446272
## row1358 -0.236671 -0.126453 -0.7471498 1.4360457 -1.383088 0.1349884
## row1359 -0.394037 1.044753 0.6149020 -0.7882953 -0.562587 0.4505536
## row1360 -0.522009 1.651985 0.3500692 -0.5433854 0.362718 0.0170744
## row1361 -0.420071 1.379739 0.3828345 -1.1136876 -0.124942 0.1529578
## row1362 -0.561607 1.501653 0.4504537 -0.1452714 0.549117 0.0070254
## row1363 -0.554436 1.560551 0.3164813 -0.3901642 0.626603 -0.0401308
## row1364 -0.628472 1.426032 0.3677855 0.1242371 1.088627 -0.1442052
## row1365 -0.569082 1.625641 0.2212372 -0.4726768 0.826767 -0.1368515
## row1366 -0.527015 1.619287 0.2475429 -0.7042605 0.579059 -0.0882021
## row1367 -0.363959 -0.123294 -0.7649243 2.1002712 -0.501442 -0.1570690
## row1368 -0.303560 -0.242387 -0.9434260 0.4490787 0.967761 0.3292600
## row1369 -0.499256 1.732052 0.1989409 -0.9519480 0.422151 -0.0724780
## row1370 1.801047 0.701284 -0.1250801 1.3519521 0.831546 0.2855548
## row1371 1.781663 0.772916 -0.2030854 1.3316351 1.025380 0.2006140
## row1372 1.798138 0.855729 -0.2281486 1.1835923 0.929786 0.2038199
## row1373 1.280178 0.495726 -0.6346482 -0.6745054 0.658939 -1.1105423
## row1374 1.273346 0.570817 -0.6932733 -0.7439484 0.759237 -1.1718353
## row1375 1.234627 0.572720 -0.5335979 -0.2999966 0.851439 -1.1935869
## row1376 1.239728 0.608714 -0.5248098 -0.3249049 0.803815 -1.1895812
## row1377 -0.320542 -0.091986 -0.8201706 0.6631303 0.961177 0.2736715
## row1378 -0.628853 1.646729 0.2495546 -0.0978018 1.177793 -0.2454777
## row1379 -0.619048 1.816398 0.1957833 -0.2880796 1.166943 -0.3111704
## row1380 -1.423736 1.920668 -0.4709794 0.3733711 -0.732930 -0.4672123
## row1381 -1.412970 1.993501 -0.5450175 0.1920416 -0.743713 -0.4873654
## row1382 -1.434770 2.128397 -0.6299311 0.1586022 -0.535061 -0.5975749
## row1383 -0.888517 -0.519136 -0.0558226 1.3852640 -0.675304 -0.1771029
## row1384 1.317228 -0.039118 0.5777200 0.8737535 -0.128914 0.9508597
## row1385 1.289728 0.187948 0.4515195 0.8021959 0.127051 0.8061201
## row1386 1.249745 0.002648 0.2478274 0.7979193 0.596245 0.7239603
## row1387 0.722018 -0.386768 0.0442534 -0.7176963 0.203000 -0.5423168
## row1388 0.710329 -0.371674 -0.0420932 -0.7591970 0.334056 -0.5737709
## row1389 0.680448 -0.220132 0.0673456 -0.4812407 0.407989 -0.6449108
## row1390 0.626321 -0.259061 0.0634623 -0.1807945 0.781160 -0.7536229
## row1391 -0.992568 -1.049612 -0.0445323 1.4102110 1.168508 0.6622451
## row1392 -0.925681 -0.901440 -0.1470797 0.8707173 0.785669 0.7453509
## row1393 -1.355578 1.318116 0.6997778 0.3570054 1.942014 -0.2172179
## row1394 -1.242751 1.091328 0.8137849 -0.0773862 1.157229 0.0799875
## row1395 -1.201158 1.095521 0.8475385 -0.2781256 0.873437 0.1543940
## row1396 -1.277242 1.019111 0.7743143 0.0791219 1.430295 0.0180498
## row1397 -0.887485 -0.437886 -0.2861548 1.4534833 -1.092905 0.2836748
## row1398 -0.875310 -0.443946 0.1828549 1.1791822 -0.336083 -0.6886894
## row1399 -0.872092 -0.531757 -0.2783712 1.3935408 -1.174902 0.3309724
## row1400 1.329332 0.495734 0.4646090 0.4052722 -0.015944 0.6537803
## row1401 1.279309 0.366504 0.3368745 0.6375723 0.305905 0.6779111
## row1402 1.246079 0.256473 0.3979357 0.9451761 0.467408 0.6711190
## row1403 0.771658 -0.949666 -0.0005921 -0.9181383 0.006236 -0.3093480
## row1404 0.713007 -0.473283 0.1193927 -0.5226906 0.175657 -0.4900617
## row1405 0.712117 -0.457004 0.2450173 -0.3459016 0.057751 -0.4560399
## row1406 0.655607 -0.160992 0.0759885 -0.3513745 0.562797 -0.7162335
## row1407 -0.963212 -0.980961 -0.1411571 1.1026576 1.046217 0.6844746
## row1408 -1.269774 0.883660 0.9937646 0.3781199 1.190114 0.1383827
## row1409 -1.186621 1.078997 0.8940675 -0.2670976 0.701556 0.2334968
## row1410 -1.209242 1.126330 0.7020320 -0.3792166 0.965179 0.1700425
## row1411 -0.836841 -0.569289 -0.2735150 0.1226788 0.264563 0.8081634
## row1412 -0.964712 -0.718352 -0.2196895 0.9305002 1.100360 0.5806151
## row1413 -0.860933 -1.026154 -1.0820428 -0.7680642 1.281990 0.6116675
## row1414 -0.848389 -1.092135 -0.8811228 -0.5394803 1.014307 0.7197161
## row1415 -1.240454 0.782404 0.9799786 0.2293907 1.012960 0.2319813
## row1416 -1.277111 0.741550 1.0135309 0.4839257 1.237684 0.1694531
## row1417 -1.175151 1.076469 0.8504998 -0.3843452 0.658175 0.2530119
## row1418 -1.159417 1.068885 0.8364347 -0.4914046 0.571919 0.2805139
## row1419 -0.922853 -0.225531 0.0230944 1.2171302 0.021652 -0.8261248
## row1420 -0.898584 -0.455030 -0.2838786 1.5187754 -1.013662 0.2609162
## row1421 -0.900884 -0.773274 0.1424740 1.0648184 -0.327289 -1.7803873
## row1422 -1.183652 0.632424 1.1281440 -0.2436584 0.449153 -0.8364652
## row1423 -1.172851 0.744055 1.1280183 -0.3298445 0.358701 -0.8411077
## row1424 -1.132332 0.740523 1.0115693 -0.7313092 0.225725 -0.8126335
## row1425 1.233009 0.126525 0.6810151 0.8104229 0.579471 -0.8142209
## row1426 1.289827 0.327571 0.5873520 0.4362122 0.082455 -0.6166976
## row1427 1.223170 0.258586 0.4453089 0.7216034 0.525170 -0.6529418
## row1428 0.702330 -0.530159 0.1786062 -0.8182842 0.202821 -1.8165711
## row1429 0.683992 -0.616849 0.0845340 -0.7892803 0.372008 -1.8122303
## row1430 0.645811 -0.544195 0.2862020 -0.3045383 0.405649 -1.8345559
## row1431 0.629755 -0.467808 0.2993429 -0.2172866 0.489373 -1.8852761
## row1432 -1.003216 -1.215983 -0.1014996 1.0380171 1.236173 -0.5942751
## row1433 -0.815626 -1.074069 0.3146177 1.6631345 -1.343728 -0.2721851
## row1434 -0.778886 -1.219615 0.2912025 0.3682738 0.133913 0.2233272
## row1435 -1.053265 0.518049 1.4047225 -0.5320255 0.103196 -0.2280624
## row1436 -0.839728 -1.304715 0.2853285 0.6837504 0.606355 0.0710791
## row1437 -0.746816 -0.632015 0.3866849 0.6004629 -0.932553 -1.1147409
## row1438 -0.779466 -0.911331 0.2041250 1.2647729 -1.496401 -0.2785153
## row1439 -0.763806 -1.137996 0.2250177 0.1666857 0.093392 0.2055040
## row1440 -1.132190 0.563187 1.4105002 -0.1048232 0.623340 -0.4116850
## row1441 -1.158080 0.722667 1.2971908 -0.1663345 0.890038 -0.5523785
## row1442 -1.149734 0.739671 1.3028433 -0.2052992 0.821462 -0.5328675
## row1443 1.372894 0.075298 0.9217387 0.5231963 0.017460 -0.0550474
## row1444 1.374648 0.064358 0.9875238 0.6073801 -0.054665 -0.0287483
## row1445 1.397069 0.092954 0.9293505 0.3964988 -0.153924 -0.0055799
## row1446 0.849681 -0.471751 0.5390075 -1.2318500 -0.204815 -1.3315728
## row1447 0.849367 -0.482155 0.5647461 -1.1903410 -0.227752 -1.3197568
## row1448 0.835060 -0.443628 0.5147028 -1.2135121 -0.056572 -1.4059063
## row1449 0.825380 -0.355778 0.4349402 -1.2878417 0.063025 -1.4671439
## row1450 -0.812967 -0.702469 0.0570779 0.0483362 0.585958 -0.1273421
## row1451 -1.246485 0.307829 1.3954065 0.5663031 1.439031 -0.5937314
## row1452 -1.144975 0.662168 0.9967446 -0.6341583 1.087077 -0.5913642
## row1453 -1.167087 0.728154 1.1009975 -0.3857507 1.128233 -0.6262733
## row1454 -0.776601 -0.878435 0.4810394 1.1179187 -1.026748 -0.8708878
## row1455 -0.881969 -0.915279 0.1830810 1.7996586 -0.790598 -0.5037787
## row1456 1.366979 -0.305395 1.1399572 0.9244814 -0.049830 0.0598686
## row1457 1.362688 -0.303572 1.1540761 0.9705846 -0.039847 0.0589659
## row1458 1.386758 -0.373149 1.1724933 0.8865837 -0.215778 0.1415305
## row1459 0.902185 -0.839820 0.7340988 -1.1730579 -0.663030 -1.0834614
## row1460 0.851036 -0.759534 0.5866446 -1.1206157 -0.187535 -1.2641337
## row1461 0.814655 -0.699270 0.6728275 -0.8120189 -0.041129 -1.3263930
## row1462 0.810168 -0.609581 0.6288646 -0.8681194 0.013234 -1.3694019
## row1463 -0.807533 -0.893016 0.1831321 1.3896364 -1.298121 -0.3440934
## row1464 -0.753034 -1.017255 0.1034017 -0.0889373 0.114962 0.1633060
## row1465 -0.956259 0.824521 1.3728993 0.1080437 -0.541017 0.6132704
## row1466 -0.629546 -0.767459 0.2203883 1.6964008 -2.478393 0.7003734
## row1467 -0.572886 -0.947640 0.3018990 0.4435569 -1.224009 1.2757944
## row1468 -0.847403 0.744207 1.3032448 -0.6326528 -1.092358 0.7590822
## row1469 -0.594974 -1.074502 0.2938839 0.5368310 -0.977430 1.1947617
## row1470 -1.057917 0.616434 1.4841999 0.8365127 0.118335 0.4352563
## row1471 -1.052465 0.631111 1.4047767 0.6917004 0.156411 0.4177335
## row1472 -1.065265 0.735824 1.4206896 0.7529743 0.218792 0.3609205
## row1473 -0.729358 0.575965 1.4797720 -1.1029028 -1.861702 0.9656354
## row1474 -0.672101 0.930234 1.3430644 -1.6174410 -2.284121 1.0577211
## row1475 1.443224 0.310040 0.5810189 0.9253881 -0.184390 0.6893482
## row1476 1.432688 0.248983 0.6169191 1.0697243 -0.170779 0.7220936
## row1477 1.387737 0.125257 0.6886389 1.4571321 0.065187 0.6932713
## row1478 0.924435 -0.379790 0.2967835 -0.6467965 -0.560275 -0.4640157
## row1479 0.949852 -0.553240 0.4745368 -0.4869317 -0.887015 -0.2973754
## row1480 0.915694 -0.618381 0.5354791 -0.1880348 -0.722226 -0.3212411
## row1481 0.877011 -0.315516 0.5515244 -0.0289854 -0.523632 -0.4791958
## row1482 -0.615849 -0.692118 0.9372310 1.2802493 -1.297281 -0.8222591
## row1483 -0.645458 -0.750745 0.1933644 1.6988384 -2.284349 0.5961303
## row1484 -0.591739 -0.874580 0.1332247 0.2935217 -0.947096 1.1633173
## row1485 -0.947332 0.934884 1.2653447 -0.1558609 -0.458478 0.5202680
## row1486 -0.980361 0.922405 1.2979593 0.0692581 -0.259707 0.4563220
## row1487 -0.940665 0.956313 1.1999663 -0.2959432 -0.433306 0.4993368
## row1488 -0.922222 0.958324 1.2234135 -0.4062403 -0.517978 0.4909952
## row1489 -0.948643 1.029647 1.2685003 -0.1662167 -0.469357 0.4957781
## row1490 -0.916167 0.947977 1.2428035 -0.4265620 -0.550627 0.4906005
## row1491 -1.014413 1.202430 1.1423147 -0.0003668 0.030266 0.3012568
## row1492 0.292819 -5.562639 3.1400241 0.9462645 -9.264893 5.4296786
## row1493 -0.799989 -0.747281 0.0124606 1.2145561 0.575871 0.6150506
## row1494 -1.046431 1.033014 1.1103313 0.1488319 0.336461 0.2347538
## row1495 -0.955263 1.179176 1.0951000 -0.5043113 -0.139196 0.2615329
## row1496 -1.089593 1.188800 1.0309507 0.1807298 0.760799 0.0025173
## row1497 -0.708979 -0.554798 1.0548549 1.6838900 -0.453337 -1.3372900
## row1498 -0.741380 -0.545901 0.0765609 2.0436123 -1.609136 0.3423169
## row1499 -1.033856 1.158038 1.1482141 0.0780305 0.232335 0.2096626
## row1500 -1.062365 1.117375 1.1393849 0.2544973 0.404605 0.1856827
## row1501 -1.035889 1.272173 0.9777676 -0.1982863 0.423906 0.0938299
## row1502 -1.006584 1.110670 1.2139974 0.0823989 -0.081409 0.3684085
## row1503 -1.052142 1.111311 1.1879030 0.2686688 0.288979 0.2258841
## row1504 1.506015 0.215256 0.9084662 1.1095127 -0.976328 1.0159301
## row1505 1.528929 0.233415 0.9253200 0.9961677 -1.138761 1.0570255
## row1506 0.901582 -0.371821 0.5039410 -0.2133267 -0.638359 -0.4226027
## row1507 0.889537 -0.127268 0.3297907 -0.4558491 -0.420290 -0.5734445
## row1508 0.832380 -0.101674 0.3609635 -0.0952520 -0.086005 -0.6804440
## row1509 0.810244 -0.093061 0.4394761 0.1404734 -0.024581 -0.6967033
## row1510 -0.682247 -0.597965 0.0300706 0.5696405 -0.272144 0.8533265
## row1511 -1.067757 1.158772 1.1450312 0.2804532 0.430895 0.1633844
## row1512 -1.016030 1.110149 1.2209799 0.1080165 0.029014 0.3024424
## row1513 -1.007786 1.130558 1.1944692 0.0142132 0.005864 0.2979259
## row1514 -0.854381 0.570008 -2.1443423 2.0230271 -2.170665 -1.1492739
## row1515 -1.292698 2.726433 -1.2455821 0.5342207 0.699925 -1.7283849
## row1516 -1.190589 2.375749 -1.0744494 0.2833704 -0.070474 -1.3850756
## row1517 -1.219509 2.431781 -1.1030299 0.3809989 0.152940 -1.4806080
## row1518 -0.613909 -0.624803 -0.6418153 0.5407816 0.851129 0.0714676
## row1519 -1.012495 1.705642 0.2723282 -0.0673091 1.700140 -0.8168547
## row1520 -0.639609 -0.385781 -0.7139119 1.6387234 -0.652951 -0.4278261
## row1521 -0.976398 1.103035 0.4737172 0.1499022 1.379013 -0.5390289
## row1522 -0.939680 1.401382 0.4008134 -0.2406191 1.177892 -0.5782829
## row1523 -0.969226 1.456049 0.3641929 -0.1401337 1.398048 -0.6636342
## row1524 1.552551 0.508622 -0.0367243 0.5392729 0.805056 -0.2479596
## row1525 1.559354 0.417897 -0.1165738 0.5078353 0.708426 -0.1086829
## row1526 1.555396 0.292072 -0.0497981 0.6854788 0.642895 -0.0215882
## row1527 1.049585 -0.307020 -0.3975193 -1.1100867 0.288517 -1.2451057
## row1528 1.041109 -0.200947 -0.6348586 -1.3422605 0.439337 -1.2606555
## row1529 1.011204 -0.269640 -0.3358216 -0.7086017 0.310673 -1.1667099
## row1530 -0.994753 1.651989 0.2970434 -0.1149388 1.562880 -0.7543371
## row1531 -0.940788 1.479787 0.3690162 -0.2931226 1.196157 -0.6041259
## row1532 -0.969714 1.525492 0.3199082 -0.2208326 1.439792 -0.7024588
## row1533 -0.902251 1.490486 0.2875530 -0.6404186 1.043715 -0.5753209
## row1534 -0.604081 -0.310007 -0.7170948 1.4168670 -0.893732 -0.3769350
## row1535 1.048878 -0.384537 0.0070684 -0.3952447 -0.272517 -0.9308102
## row1536 -1.051693 1.598038 0.3189868 0.2398280 1.933688 -0.8582632
## row1537 -0.501827 -0.200121 -0.5951140 0.8871034 -1.545450 -0.2954530
## row1538 -0.632761 -0.194988 -0.6821403 1.5933403 -0.750877 -0.4593069
## row1539 -0.995255 1.467592 0.3758908 0.0122509 1.565176 -0.7242382
## row1540 -0.823219 1.377510 0.4459109 -0.8516895 0.419475 -0.3613677
## row1541 1.541036 -0.337239 0.6164652 1.3219348 0.314226 -1.1192236
## row1542 1.662959 -0.025802 0.1395815 0.0118917 -0.243392 -0.9520899
## row1543 1.635296 -0.611497 0.5901670 0.9528917 -0.424408 -0.6976421
## row1544 1.168763 -1.001736 0.1063470 -1.2855843 -0.964151 -1.9146150
## row1545 1.153514 -0.752743 -0.1828234 -1.6133408 -0.702645 -2.0314392
## row1546 1.084896 -0.832217 -0.0407153 -0.9509475 -0.468657 -2.0238743
## row1547 1.070428 -0.643499 0.0423986 -0.7947616 -0.491354 -2.0681125
## row1548 -1.025708 1.137100 0.5880567 0.1972565 1.484065 -1.8534731
## row1549 -0.581478 -0.722952 -0.4352260 1.3969971 -1.337528 -1.3903511
## row1550 -0.902660 0.882832 0.7072480 -0.2755966 0.624696 -1.5207090
## row1551 -0.906546 0.921705 0.7038704 -0.2704456 0.650798 -1.5426968
## row1552 -0.917912 0.966936 0.6850754 -0.2411610 0.731570 -1.5790611
## row1553 -0.890461 0.914165 0.6447332 -0.4449061 0.609207 -1.5319603
## row1554 -0.804390 0.793788 1.0422640 -0.3187288 0.443234 -0.9781122
## row1555 -0.832314 0.810637 0.8835294 -0.3910817 0.779684 -1.0922203
## row1556 -0.804433 0.713189 1.0627032 -0.2602478 0.421580 -0.9378462
## row1557 1.717175 -0.096820 0.5851915 0.3760646 -0.262089 -0.4535923
## row1558 1.712535 -0.052754 0.5923104 0.4013318 -0.245701 -0.4717869
## row1559 1.701631 0.113456 0.5326265 0.3394451 -0.144725 -0.5536168
## row1560 1.189041 -0.486575 0.1502949 -1.4566462 -0.435795 -1.7885988
## row1561 1.195348 -0.474643 0.1123788 -1.5525260 -0.435418 -1.7971721
## row1562 1.193126 -0.598342 0.1517998 -1.4509589 -0.445158 -1.7524493
## row1563 1.181080 -0.611685 0.2096695 -1.3030809 -0.414582 -1.7598271
## row1564 -0.878614 1.140067 0.8164631 -0.2846133 1.062929 -1.2620881
## row1565 -0.784718 0.656030 0.9448889 -0.5279444 0.425030 -0.9296986
## row1566 -0.813902 0.812952 0.9264816 -0.4356914 0.619264 -1.0436202
## row1567 -0.842529 0.958751 0.8864459 -0.3762305 0.835640 -1.1632895
## row1568 -0.837909 0.919166 0.8531923 -0.4545775 0.867029 -1.1752208
## row1569 -0.544446 -0.656482 -0.2011899 1.4967967 -1.015371 -1.0699322
## row1570 -0.924987 1.273678 0.7600154 -0.1472825 1.415128 -1.4214420
## row1571 -0.913772 1.065012 0.7580148 -0.1933353 1.423367 -1.3879444
## row1572 -0.930743 1.089765 0.8091776 -0.0320440 1.479853 -1.4110688
## row1573 -0.903868 1.205324 0.7738050 -0.2644011 1.326626 -1.4035209
## row1574 1.634464 0.582214 0.3997857 1.1756362 0.085136 -0.5448915
## row1575 1.611735 0.596295 0.3835437 1.3028000 0.208124 -0.5646188
## row1576 1.621773 0.693110 0.3404865 1.1879097 0.131379 -0.5494696
## row1577 1.089653 0.124114 0.0299623 -0.4066658 -0.105227 -1.8096797
## row1578 1.067276 0.162292 0.0354980 -0.2881634 0.037308 -1.8694854
## row1579 1.044800 0.209870 0.0961733 -0.0813302 0.106561 -1.8971796
## row1580 1.068814 0.266896 0.1332261 -0.1736259 -0.101196 -1.8461897
## row1581 -0.920484 1.412227 0.8269731 0.7204925 0.927825 -1.0244227
## row1582 -0.941319 1.731575 0.7321396 0.6190391 1.116352 -1.1879404
## row1583 -0.590263 -0.014775 -0.3605336 2.2329052 -1.073649 -0.9398589
## row1584 -0.970933 1.958561 0.6178506 0.5676449 1.387111 -1.3442199
## row1585 -0.743093 1.331716 0.8181236 0.1471142 0.253720 -0.3932692
## row1586 -0.777500 1.342355 0.8078009 0.3143593 0.499076 -0.4793739
## row1587 -0.764363 1.411556 0.7166505 0.1011966 0.483193 -0.4933177
## row1588 -0.727972 1.485930 0.7304509 -0.0678931 0.170694 -0.3904441
## row1589 -0.790127 1.526129 0.6502979 0.1202035 0.704015 -0.6012750
## row1590 -0.534113 -0.371143 -0.3500840 2.4113962 -0.899871 -0.5034731
## row1591 -0.828706 1.399916 0.7364135 0.4389330 0.965022 -0.6835111
## row1592 -0.799409 1.440820 0.6955907 0.2564692 0.734170 -0.5835463
## row1593 -0.492036 -0.069967 -0.4898272 1.9120912 -1.094970 -0.5334597
## row1594 1.606747 0.872660 0.0334823 1.1317777 1.078599 -0.5710628
## row1595 1.548214 0.903997 0.0736971 1.5199669 1.399365 -0.6679359
## row1596 1.540954 0.850545 0.0427331 1.5877967 1.399362 -0.6023569
## row1597 1.047025 0.136492 -0.6412887 -0.6690666 1.238644 -1.8162408
## row1598 1.095857 0.274023 -0.2784808 -0.4187147 0.474323 -1.5720539
## row1599 1.072434 0.321846 -0.1742718 -0.1379258 0.496108 -1.5775000
## row1600 1.061371 0.360214 -0.2076049 -0.1284462 0.589181 -1.6153938
## row1601 -0.825159 1.624341 0.5831033 0.1886883 0.996539 -0.7308656
## row1602 -0.839678 1.704518 0.5280305 0.1418074 1.178875 -0.8398984
## row1603 -0.554276 -0.263959 -0.4377268 2.2926962 -0.577108 -0.7091793
## row1604 -0.532848 -0.165369 -0.4598963 2.2008258 -0.835080 -0.5879565
## row1605 -0.879339 1.462591 0.6664107 0.6357545 1.313651 -0.7880545
## row1606 -0.864020 1.451391 0.6020221 0.4597268 1.281821 -0.7788021
## row1607 -0.900477 1.464642 0.6407136 0.7174860 1.476341 -0.8393563
## row1608 -0.832852 1.552661 0.6065033 0.2789772 1.039934 -0.7245350
## row1609 -0.789182 1.625459 0.6232205 -0.0301668 0.832029 -0.7435758
## row1610 -0.897233 1.203000 0.3035783 0.2986395 1.810651 -0.8636798
##
##
## Biplot scores for constraining variables
##
## CCA1 CCA2 CCA3 CCA4 CCA5 CCA6
## Cond -0.01622 -2.217e-01 0.305433 0.19873 -0.048856 -0.531533
## WTemp 0.14971 -2.967e-01 -0.047200 -0.15007 -0.249300 0.009955
## Turb 0.33742 -2.165e-01 -0.524734 -0.35523 0.273235 0.114477
## DOx -0.33172 -1.635e-01 0.004341 0.31177 0.465708 0.092097
## RegionCentralYolo 0.78537 1.539e-01 0.094192 0.26891 0.084933 0.239225
## RegionLowerSacRiver -0.25068 -2.520e-01 0.060737 0.37607 -0.363712 -0.338186
## RegionLowerYolo 0.42073 -1.141e-01 -0.078493 -0.45145 -0.053678 -0.375798
## RegionMiddleSacRiver -0.49077 6.476e-01 0.397692 -0.29888 0.061272 0.083031
## WYTypeC -0.14200 -3.026e-01 0.343368 -0.02261 -0.048435 -0.077870
## WYTypeD 0.04882 -1.620e-02 0.177518 -0.09412 -0.048858 0.430473
## WYTypeW 0.17545 3.955e-01 -0.348980 0.19599 0.003186 -0.195629
## ActionPhaseDuring 0.02895 -2.170e-01 0.118843 -0.16906 -0.240628 -0.280244
## ActionPhasePost 0.08033 8.979e-02 0.231590 0.15258 0.072452 0.088303
## FlowPulseTypeMA-Ag -0.03180 4.521e-02 0.154092 0.11105 0.049077 -0.208028
## FlowPulseTypeMA-SR -0.01707 -7.922e-02 -0.188030 -0.11714 0.088905 -0.150652
## FlowPulseTypeNF -0.01603 2.731e-02 0.070435 0.11374 -0.181806 0.174955
## Month.L 0.12535 1.733e-02 0.422721 0.09403 -0.008567 0.156314
## Month.Q 0.01557 3.280e-01 -0.201168 0.11994 -0.020164 0.050254
## Month.C -0.06573 3.679e-02 -0.292820 0.10089 0.216847 -0.089553
## Month^4 0.05658 -2.580e-01 0.096481 -0.04920 0.286790 -0.041099
## Month^5 -0.03816 3.913e-05 0.058892 -0.03501 -0.163177 -0.146063
##
##
## Centroids for factor constraints
##
## CCA1 CCA2 CCA3 CCA4 CCA5
## RegionCacheSloughComplex -0.54828 -0.84327 -0.81929 0.152854 0.361920
## RegionCentralYolo 1.62629 0.31863 0.19505 0.556842 0.175872
## RegionLowerSacRiver -0.56791 -0.57099 0.13760 0.851972 -0.823979
## RegionLowerYolo 1.09355 -0.29666 -0.20402 -1.173413 -0.139520
## RegionMiddleSacRiver -0.81841 1.07992 0.66319 -0.498417 0.102177
## WYTypeBN -0.12975 -0.19231 -0.09152 -0.180918 0.107377
## WYTypeC -0.26667 -0.56831 0.64483 -0.042456 -0.090958
## WYTypeD 0.14391 -0.04776 0.52324 -0.277412 -0.144011
## WYTypeW 0.23163 0.52207 -0.46071 0.258737 0.004206
## ActionPhasePre -0.14203 0.19595 -0.45980 0.048906 0.251297
## ActionPhaseDuring 0.03512 -0.26328 0.14418 -0.205105 -0.291927
## ActionPhasePost 0.13900 0.15536 0.40072 0.264007 0.125364
## FlowPulseTypeCA 0.10835 -0.03513 -0.17137 -0.286889 0.215566
## FlowPulseTypeMA-Ag -0.07466 0.10612 0.36171 0.260678 0.115202
## FlowPulseTypeMA-SR -0.05609 -0.26028 -0.61778 -0.384872 0.292099
## FlowPulseTypeNF -0.01485 0.02530 0.06526 0.105379 -0.168437
## Month6 -0.07977 0.88668 -2.94814 -1.240382 -0.267809
## Month7 -0.57065 0.76775 -1.32299 0.190157 -0.673943
## Month8 0.02150 -0.15663 -0.06914 0.002764 0.290058
## Month9 0.02043 -0.28340 0.37132 -0.148613 -0.121739
## Month10 0.08564 0.24960 0.34469 0.015468 -0.436736
## Month11 0.60545 1.17604 0.20663 1.630082 1.940838
## CCA6
## RegionCacheSloughComplex 0.47397
## RegionCentralYolo 0.49537
## RegionLowerSacRiver -0.76615
## RegionLowerYolo -0.97677
## RegionMiddleSacRiver 0.13846
## WYTypeBN -0.01447
## WYTypeC -0.14624
## WYTypeD 1.26884
## WYTypeW -0.25826
## ActionPhasePre 0.28774
## ActionPhaseDuring -0.33999
## ActionPhasePost 0.15279
## FlowPulseTypeCA 0.13312
## FlowPulseTypeMA-Ag -0.48832
## FlowPulseTypeMA-SR -0.49497
## FlowPulseTypeNF 0.16209
## Month6 -0.15591
## Month7 -0.61332
## Month8 0.05398
## Month9 -0.17289
## Month10 0.33727
## Month11 0.33421
# Test the significance of the CCA
anova(spe.cca)
## Permutation test for cca under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: cca(formula = seine.sp ~ Cond + WTemp + Turb + DOx + Region + WYType + ActionPhase + FlowPulseType + Month, data = seine.env.f)
## Df ChiSquare F Pr(>F)
## Model 21 0.51061 15.824 0.001 ***
## Residual 1588 2.44008
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(spe.cca, by = "axis")
## Permutation test for cca under reduced model
## Forward tests for axes
## Permutation: free
## Number of permutations: 999
##
## Model: cca(formula = seine.sp ~ Cond + WTemp + Turb + DOx + Region + WYType + ActionPhase + FlowPulseType + Month, data = seine.env.f)
## Df ChiSquare F Pr(>F)
## CCA1 1 0.26291 172.1761 0.001 ***
## CCA2 1 0.10954 71.7371 0.001 ***
## CCA3 1 0.05798 37.9694 0.001 ***
## CCA4 1 0.03001 19.6513 0.001 ***
## CCA5 1 0.01561 10.2197 0.002 **
## CCA6 1 0.01311 8.5888 0.006 **
## CCA7 1 0.00774 5.0699 0.316
## CCA8 1 0.00726 4.7547 0.344
## CCA9 1 0.00282 1.8486 1.000
## CCA10 1 0.00230 1.5034 1.000
## CCA11 1 0.00134 0.8771 1.000
## Residual 1598 2.44008
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(spe.cca, by = "terms")
## Permutation test for cca under reduced model
## Terms added sequentially (first to last)
## Permutation: free
## Number of permutations: 999
##
## Model: cca(formula = seine.sp ~ Cond + WTemp + Turb + DOx + Region + WYType + ActionPhase + FlowPulseType + Month, data = seine.env.f)
## Df ChiSquare F Pr(>F)
## Cond 1 0.01641 10.6817 0.001 ***
## WTemp 1 0.01817 11.8251 0.001 ***
## Turb 1 0.05226 34.0138 0.001 ***
## DOx 1 0.03553 23.1209 0.001 ***
## Region 4 0.27985 45.5316 0.001 ***
## WYType 3 0.03465 7.5159 0.001 ***
## ActionPhase 2 0.02409 7.8392 0.001 ***
## FlowPulseType 3 0.01952 4.2346 0.001 ***
## Month 5 0.03013 3.9212 0.001 ***
## Residual 1588 2.44008
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(spe.cca, by = 'margin')
## Permutation test for cca under reduced model
## Marginal effects of terms
## Permutation: free
## Number of permutations: 999
##
## Model: cca(formula = seine.sp ~ Cond + WTemp + Turb + DOx + Region + WYType + ActionPhase + FlowPulseType + Month, data = seine.env.f)
## Df ChiSquare F Pr(>F)
## Cond 1 0.00783 5.0943 0.001 ***
## WTemp 1 0.01321 8.5945 0.001 ***
## Turb 1 0.01156 7.5255 0.001 ***
## DOx 1 0.00963 6.2659 0.001 ***
## Region 4 0.23806 38.7325 0.001 ***
## WYType 3 0.04215 9.1433 0.001 ***
## ActionPhase 2 0.00975 3.1712 0.001 ***
## FlowPulseType 3 0.01677 3.6385 0.001 ***
## Month 5 0.03013 3.9212 0.001 ***
## Residual 1588 2.44008
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Forward stepping
cca.step <- ordistep(cca(seine.sp ~ 1, data = seine.env.f), scope = formula(spe.cca),
direction = "forward", pstep = 1000)
##
## Start: seine.sp ~ 1
##
## Df AIC F Pr(>F)
## + Region 4 2295.5 55.1280 0.005 **
## + Turb 1 2465.6 31.4198 0.005 **
## + WYType 3 2472.6 9.4504 0.005 **
## + DOx 1 2475.4 21.4291 0.005 **
## + Month 5 2476.2 5.7275 0.005 **
## + WTemp 1 2486.9 9.8683 0.005 **
## + ActionPhase 2 2487.0 5.8779 0.005 **
## + Cond 1 2487.8 8.9946 0.005 **
## + FlowPulseType 3 2493.7 2.3581 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region
##
## Df AIC F Pr(>F)
## + WYType 3 2275.5 8.6752 0.005 **
## + Month 5 2279.5 5.1988 0.005 **
## + Turb 1 2287.7 9.7748 0.005 **
## + ActionPhase 2 2288.2 5.6569 0.005 **
## + Cond 1 2290.4 7.0189 0.005 **
## + DOx 1 2290.9 6.6045 0.005 **
## + WTemp 1 2291.4 6.0071 0.005 **
## + FlowPulseType 3 2293.6 2.6290 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType
##
## Df AIC F Pr(>F)
## + Month 5 2259.9 5.1178 0.005 **
## + ActionPhase 2 2266.3 6.6204 0.005 **
## + Turb 1 2268.2 9.2673 0.005 **
## + FlowPulseType 3 2269.7 3.9241 0.005 **
## + DOx 1 2270.7 6.7945 0.005 **
## + Cond 1 2272.6 4.8704 0.005 **
## + WTemp 1 2273.4 4.0875 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month
##
## Df AIC F Pr(>F)
## + WTemp 1 2252.7 9.2327 0.005 **
## + Turb 1 2253.0 8.8437 0.005 **
## + FlowPulseType 3 2254.3 3.8410 0.005 **
## + DOx 1 2254.4 7.4672 0.005 **
## + Cond 1 2257.1 4.8197 0.005 **
## + ActionPhase 2 2257.7 3.1043 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp
##
## Df AIC F Pr(>F)
## + Turb 1 2245.7 8.8744 0.005 **
## + DOx 1 2247.1 7.5366 0.005 **
## + FlowPulseType 3 2247.2 3.7917 0.005 **
## + Cond 1 2249.8 4.8369 0.005 **
## + ActionPhase 2 2250.2 3.1749 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp + Turb
##
## Df AIC F Pr(>F)
## + DOx 1 2240.7 6.9338 0.005 **
## + FlowPulseType 3 2241.1 3.5050 0.005 **
## + ActionPhase 2 2243.4 3.1403 0.005 **
## + Cond 1 2242.7 4.9486 0.010 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp + Turb + DOx
##
## Df AIC F Pr(>F)
## + FlowPulseType 3 2236.5 3.3842 0.005 **
## + Cond 1 2237.8 4.8634 0.005 **
## + ActionPhase 2 2238.7 2.9762 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp + Turb + DOx + FlowPulseType
##
## Df AIC F Pr(>F)
## + Cond 1 2233.2 5.1849 0.005 **
## + ActionPhase 2 2234.0 3.2152 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp + Turb + DOx + FlowPulseType + Cond
##
## Df AIC F Pr(>F)
## + ActionPhase 2 2230.8 3.1712 0.005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Step: seine.sp ~ Region + WYType + Month + WTemp + Turb + DOx + FlowPulseType + Cond + ActionPhase
plot(spe.cca, choices = c(1,2), display = c('wa', 'sp', 'bp'), scaling = 2)
# Plot the CCA
cca.biplot = function(cca){
#find plot dimensions (changed these so all the points would fit)
xmin = min(summary((cca))$species[, 1]) * 1.3
xmax = max(summary((cca))$species[, 1]) * 1.2
ymin = min(summary((cca))$species[, 2]) * 1.3
ymax = max(summary((cca))$species[, 2]) * 1.1
par(bty='l')
# plot(cca,disp='species',scaling=1) #scale to show species the best
plot(summary((cca))$species[, 1], summary((cca))$species[, 2],
type = 'n', xlim = c(xmin, xmax), ylim = c(ymin, ymax),
ylab = 'CA2 (3.7% Variation Explained)', xlab = 'CA1 (8.9% Variation Explained)')
axis(side = 1, lwd = 2)
axis(side = 2, lwd = 2)
box(lwd = 2)
#draw origin lines
segments(-2, 0, 2, 0, lwd = 1, lty = 3)
segments(0, -4, 0, 2, lwd = 1, lty = 3)
#Add species names
text(summary((cca))$species[, 1],summary((cca))$species[, 2], labels = rownames(summary((cca))$species), cex = 0.8)
#define continuous variables possibly used
cont.vars=c('Cond','WTemp','DOx','Turb')
bi.names = row.names(summary(cca)$biplot) #names of environmental variables
# centroid.names=row.names(summary(cca)$centroid)
centroid.names = data.frame(Rows = rownames(summary((cca))$centroid))
#Pain in the a$$ way to do this, but I created abbreviated names for each level of
#my categorical variable so that they would look nicer when plotted
#Else I would have names like HabitatC on the biplot
#
centroid.names$New[centroid.names$Rows == 'ActionPhasePre'] = 'PreAction'
centroid.names$New[centroid.names$Rows == 'ActionPhaseDuring'] = 'DuringAction'
centroid.names$New[centroid.names$Rows == 'ActionPhasePost'] = 'PostAction'
centroid.names$New[centroid.names$Rows == 'WYTypeC'] = 'CriticalWY'
centroid.names$New[centroid.names$Rows == 'WYTypeD'] = 'DryWY'
centroid.names$New[centroid.names$Rows == 'WYTypeW'] = 'WetWY'
centroid.names$New[centroid.names$Rows == 'FlowPulseTypeMA-Ag'] = 'AgPulse'
centroid.names$New[centroid.names$Rows == 'FlowPulseTypeMA-SR'] = 'SRPulse'
centroid.names$New[centroid.names$Rows == 'FlowPulseTypeNF'] = 'NoFA'
centroid.names$New[centroid.names$Rows == 'Month4'] = 'Apr'
centroid.names$New[centroid.names$Rows == 'Month5'] = 'May'
centroid.names$New[centroid.names$Rows == 'Month6'] = 'June'
centroid.names$New[centroid.names$Rows == 'Month7'] = 'July'
centroid.names$New[centroid.names$Rows == 'Month8'] = 'Aug'
centroid.names$New[centroid.names$Rows == 'Month9'] = 'Sep'
centroid.names$New[centroid.names$Rows == 'Month10'] = 'Oct'
centroid.names$New[centroid.names$Rows == 'Month11'] = 'Nov'
centroid.names$New[centroid.names$Rows == 'Month12'] = 'Dec'
centroid.names$New[centroid.names$Rows == 'Month1'] = 'Jan'
centroid.names$New[centroid.names$Rows == 'Month2'] = 'Feb'
centroid.names$New[centroid.names$Rows == 'Month3'] = 'Mar'
centroid.names$New[centroid.names$Rows == 'RegionCacheSloughComplex'] = 'CacheSloughComplex'
centroid.names$New[centroid.names$Rows == 'RegionCentralYolo'] = 'CentralYolo'
centroid.names$New[centroid.names$Rows == 'RegionColusaDrainRCS'] = 'ColusaDrainRCS'
centroid.names$New[centroid.names$Rows == 'RegionLowerSacRiver'] = 'LowerSacRiver'
centroid.names$New[centroid.names$Rows == 'RegionLowerYolo'] = 'LowerYolo'
centroid.names$New[centroid.names$Rows == 'RegionMiddleSacRiver'] = 'MiddleSacRiver'
#This could possibly be slimmed down, but it plots arrows if the variable is continuous (part of the list above)
# and plots a point for the categorical variables instead
for(i in 1:length(summary(cca)$biplot[, 1])){
#Test that the row name is one of the continuous variables before plotting arrows
if(bi.names[i] %in% cont.vars){
arrows(0, 0, summary(cca)$biplot[i, 1], summary(cca)$biplot[i, 2],
lwd = 1, angle = 25, length = 0.10, col = "#F4aa42")
text(summary(cca)$biplot[i, 1] * 2,
summary(cca)$biplot[i, 2] * 2, labels = bi.names[i], col = '#F4aa42', cex = 0.8, font = 4)
}
}
#now plot the centered mean value of each nominal variable
#Use if statement to test for case where I don't have any categorical variables
if(is.numeric(summary(cca)$centroids) == TRUE){
points(summary(cca)$centroids[, 1] * 0.9, summary(cca)$centroids[, 2] * 0.9, pch = 15, col = 'black')
text(summary(cca)$centroids[, 1] * 0.9, (summary(cca)$centroids[, 2] * 0.9 + 0.15), labels = centroid.names$New,
col = 'darkcyan', cex = 0.7, adj = .5)
}
}
cca.biplot(spe.cca)